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  1. Health/1k/en-si/cross_domain_outputs/Literature-Children/en-si.csv +1 -1
  2. Health/1k/en-si/cross_domain_outputs/Literature-Children/encoded/test.bpe.en +0 -0
  3. Health/1k/en-si/cross_domain_outputs/Literature-Children/encoded/test.bpe.si +0 -0
  4. Health/1k/en-si/cross_domain_outputs/Literature-Children/outputs/output___en-si.hyp +0 -0
  5. Health/1k/en-si/cross_domain_outputs/Literature-Children/outputs/output___en-si.txt +0 -0
  6. Health/1k/en-si/cross_domain_outputs/Literature-Children/preprocess_en-si/preprocess.log +2 -2
  7. Health/1k/en-si/cross_domain_outputs/Literature-Children/preprocess_en-si/test.en-si.en.bin +2 -2
  8. Health/1k/en-si/cross_domain_outputs/Literature-Children/preprocess_en-si/test.en-si.en.idx +0 -0
  9. Health/1k/en-si/cross_domain_outputs/Literature-Children/preprocess_en-si/test.en-si.si.bin +2 -2
  10. Health/1k/en-si/cross_domain_outputs/Literature-Children/preprocess_en-si/test.en-si.si.idx +0 -0
  11. Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/en-si.csv +1 -1
  12. Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe.en +0 -0
  13. Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe.si +0 -0
  14. Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/outputs/output___en-si.hyp +0 -0
  15. Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/outputs/output___en-si.txt +0 -0
  16. Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/preprocess_en-si/preprocess.log +2 -2
  17. Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/preprocess_en-si/test.en-si.en.bin +2 -2
  18. Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/preprocess_en-si/test.en-si.en.idx +0 -0
  19. Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/preprocess_en-si/test.en-si.si.bin +2 -2
  20. Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/preprocess_en-si/test.en-si.si.idx +0 -0
  21. Health/1k/en-si/cross_domain_outputs/Literature-Old/en-si.csv +1 -1
  22. Health/1k/en-si/cross_domain_outputs/Literature-Old/encoded/test.bpe.en +0 -697
  23. Health/1k/en-si/cross_domain_outputs/Literature-Old/encoded/test.bpe.si +0 -0
  24. Health/1k/en-si/cross_domain_outputs/Literature-Old/outputs/output___en-si.hyp +0 -0
  25. Health/1k/en-si/cross_domain_outputs/Literature-Old/outputs/output___en-si.txt +0 -0
  26. Health/1k/en-si/cross_domain_outputs/Literature-Old/preprocess_en-si/preprocess.log +2 -2
  27. Health/1k/en-si/cross_domain_outputs/Literature-Old/preprocess_en-si/test.en-si.en.bin +2 -2
  28. Health/1k/en-si/cross_domain_outputs/Literature-Old/preprocess_en-si/test.en-si.en.idx +0 -0
  29. Health/1k/en-si/cross_domain_outputs/Literature-Old/preprocess_en-si/test.en-si.si.bin +2 -2
  30. Health/1k/en-si/cross_domain_outputs/Literature-Old/preprocess_en-si/test.en-si.si.idx +0 -0
  31. Health/1k/en-ta/cross_domain_outputs/Literature-Children/en-ta.csv +1 -1
  32. Health/1k/en-ta/cross_domain_outputs/Literature-Children/encoded/test.bpe.en +0 -0
  33. Health/1k/en-ta/cross_domain_outputs/Literature-Children/encoded/test.bpe.ta +0 -0
  34. Health/1k/en-ta/cross_domain_outputs/Literature-Children/outputs/output___en-ta.hyp +0 -0
  35. Health/1k/en-ta/cross_domain_outputs/Literature-Children/outputs/output___en-ta.txt +0 -0
  36. Health/1k/en-ta/cross_domain_outputs/Literature-Children/preprocess_en-ta/preprocess.log +2 -2
  37. Health/1k/en-ta/cross_domain_outputs/Literature-Children/preprocess_en-ta/test.en-ta.en.bin +2 -2
  38. Health/1k/en-ta/cross_domain_outputs/Literature-Children/preprocess_en-ta/test.en-ta.en.idx +0 -0
  39. Health/1k/en-ta/cross_domain_outputs/Literature-Children/preprocess_en-ta/test.en-ta.ta.bin +2 -2
  40. Health/1k/en-ta/cross_domain_outputs/Literature-Children/preprocess_en-ta/test.en-ta.ta.idx +0 -0
  41. Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/en-ta.csv +1 -1
  42. Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe.en +0 -0
  43. Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe.ta +0 -0
  44. Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/outputs/output___en-ta.hyp +0 -0
  45. Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/outputs/output___en-ta.txt +0 -0
  46. Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/preprocess_en-ta/preprocess.log +2 -2
  47. Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/preprocess_en-ta/test.en-ta.en.bin +2 -2
  48. Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/preprocess_en-ta/test.en-ta.en.idx +0 -0
  49. Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/preprocess_en-ta/test.en-ta.ta.bin +2 -2
  50. Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/preprocess_en-ta/test.en-ta.ta.idx +0 -0
Health/1k/en-si/cross_domain_outputs/Literature-Children/en-si.csv CHANGED
@@ -1,2 +1,2 @@
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  model,chrf_sacrebleuapi,chrfpp_sacrebleuapi,bleu_sacrebleuapi,spBLEU-flores101,spBLEU-flores200,comet
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+ _,9.027334191711706,7.684688438546862,0.04124948121164486,0.029606154996327252,0.032312613075077115,0.3866239856982577
Health/1k/en-si/cross_domain_outputs/Literature-Children/encoded/test.bpe.en CHANGED
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Health/1k/en-si/cross_domain_outputs/Literature-Children/encoded/test.bpe.si CHANGED
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Health/1k/en-si/cross_domain_outputs/Literature-Children/outputs/output___en-si.hyp CHANGED
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Health/1k/en-si/cross_domain_outputs/Literature-Children/outputs/output___en-si.txt CHANGED
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Health/1k/en-si/cross_domain_outputs/Literature-Children/preprocess_en-si/preprocess.log CHANGED
@@ -1,6 +1,6 @@
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  Namespace(aim_repo=None, aim_run_hash=None, align_suffix=None, alignfile=None, all_gather_list_size=16384, amp=False, amp_batch_retries=2, amp_init_scale=128, amp_scale_window=None, azureml_logging=False, bf16=False, bpe=None, cpu=False, criterion='cross_entropy', dataset_impl='mmap', destdir='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Children/preprocess_en-si/', dict_only=False, empty_cache_freq=0, fp16=False, fp16_init_scale=128, fp16_no_flatten_grads=False, fp16_scale_tolerance=0.0, fp16_scale_window=None, joined_dictionary=False, log_file=None, log_format=None, log_interval=100, lr_scheduler='fixed', memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, model_parallel_size=1, no_progress_bar=False, nwordssrc=-1, nwordstgt=-1, on_cpu_convert_precision=False, only_source=False, optimizer=None, padding_factor=8, plasma_path='/tmp/plasma', profile=False, quantization_config_path=None, reset_logging=False, scoring='bleu', seed=1, source_lang='en', srcdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.en.txt', suppress_crashes=False, target_lang='si', task='translation', tensorboard_logdir=None, testpref='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Children/encoded/test.bpe', tgtdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.si.txt', threshold_loss_scale=None, thresholdsrc=0, thresholdtgt=0, tokenizer=None, tpu=False, trainpref=None, use_plasma_view=False, user_dir=None, validpref=None, wandb_project=None, workers=16)
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  [en] Dictionary: 7088 types
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- [en] ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Children/encoded/test.bpe.en: 1000 sents, 31507 tokens, 47.5% replaced (by <unk>)
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  [si] Dictionary: 7088 types
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- [si] ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Children/encoded/test.bpe.si: 1000 sents, 34392 tokens, 55.1% replaced (by <unk>)
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  Wrote preprocessed data to ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Children/preprocess_en-si/
 
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  Namespace(aim_repo=None, aim_run_hash=None, align_suffix=None, alignfile=None, all_gather_list_size=16384, amp=False, amp_batch_retries=2, amp_init_scale=128, amp_scale_window=None, azureml_logging=False, bf16=False, bpe=None, cpu=False, criterion='cross_entropy', dataset_impl='mmap', destdir='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Children/preprocess_en-si/', dict_only=False, empty_cache_freq=0, fp16=False, fp16_init_scale=128, fp16_no_flatten_grads=False, fp16_scale_tolerance=0.0, fp16_scale_window=None, joined_dictionary=False, log_file=None, log_format=None, log_interval=100, lr_scheduler='fixed', memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, model_parallel_size=1, no_progress_bar=False, nwordssrc=-1, nwordstgt=-1, on_cpu_convert_precision=False, only_source=False, optimizer=None, padding_factor=8, plasma_path='/tmp/plasma', profile=False, quantization_config_path=None, reset_logging=False, scoring='bleu', seed=1, source_lang='en', srcdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.en.txt', suppress_crashes=False, target_lang='si', task='translation', tensorboard_logdir=None, testpref='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Children/encoded/test.bpe', tgtdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.si.txt', threshold_loss_scale=None, thresholdsrc=0, thresholdtgt=0, tokenizer=None, tpu=False, trainpref=None, use_plasma_view=False, user_dir=None, validpref=None, wandb_project=None, workers=16)
2
  [en] Dictionary: 7088 types
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+ [en] ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Children/encoded/test.bpe.en: 345 sents, 7477 tokens, 49.5% replaced (by <unk>)
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  [si] Dictionary: 7088 types
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+ [si] ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Children/encoded/test.bpe.si: 345 sents, 8317 tokens, 53.3% replaced (by <unk>)
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  Wrote preprocessed data to ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Children/preprocess_en-si/
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Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/en-si.csv CHANGED
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Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/outputs/output___en-si.txt CHANGED
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Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/preprocess_en-si/preprocess.log CHANGED
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  Namespace(aim_repo=None, aim_run_hash=None, align_suffix=None, alignfile=None, all_gather_list_size=16384, amp=False, amp_batch_retries=2, amp_init_scale=128, amp_scale_window=None, azureml_logging=False, bf16=False, bpe=None, cpu=False, criterion='cross_entropy', dataset_impl='mmap', destdir='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/preprocess_en-si/', dict_only=False, empty_cache_freq=0, fp16=False, fp16_init_scale=128, fp16_no_flatten_grads=False, fp16_scale_tolerance=0.0, fp16_scale_window=None, joined_dictionary=False, log_file=None, log_format=None, log_interval=100, lr_scheduler='fixed', memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, model_parallel_size=1, no_progress_bar=False, nwordssrc=-1, nwordstgt=-1, on_cpu_convert_precision=False, only_source=False, optimizer=None, padding_factor=8, plasma_path='/tmp/plasma', profile=False, quantization_config_path=None, reset_logging=False, scoring='bleu', seed=1, source_lang='en', srcdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.en.txt', suppress_crashes=False, target_lang='si', task='translation', tensorboard_logdir=None, testpref='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe', tgtdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.si.txt', threshold_loss_scale=None, thresholdsrc=0, thresholdtgt=0, tokenizer=None, tpu=False, trainpref=None, use_plasma_view=False, user_dir=None, validpref=None, wandb_project=None, workers=16)
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  [en] Dictionary: 7088 types
3
- [en] ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe.en: 1000 sents, 31507 tokens, 47.5% replaced (by <unk>)
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  [si] Dictionary: 7088 types
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- [si] ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe.si: 1000 sents, 34392 tokens, 55.1% replaced (by <unk>)
6
  Wrote preprocessed data to ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/preprocess_en-si/
 
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  Namespace(aim_repo=None, aim_run_hash=None, align_suffix=None, alignfile=None, all_gather_list_size=16384, amp=False, amp_batch_retries=2, amp_init_scale=128, amp_scale_window=None, azureml_logging=False, bf16=False, bpe=None, cpu=False, criterion='cross_entropy', dataset_impl='mmap', destdir='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/preprocess_en-si/', dict_only=False, empty_cache_freq=0, fp16=False, fp16_init_scale=128, fp16_no_flatten_grads=False, fp16_scale_tolerance=0.0, fp16_scale_window=None, joined_dictionary=False, log_file=None, log_format=None, log_interval=100, lr_scheduler='fixed', memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, model_parallel_size=1, no_progress_bar=False, nwordssrc=-1, nwordstgt=-1, on_cpu_convert_precision=False, only_source=False, optimizer=None, padding_factor=8, plasma_path='/tmp/plasma', profile=False, quantization_config_path=None, reset_logging=False, scoring='bleu', seed=1, source_lang='en', srcdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.en.txt', suppress_crashes=False, target_lang='si', task='translation', tensorboard_logdir=None, testpref='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe', tgtdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.si.txt', threshold_loss_scale=None, thresholdsrc=0, thresholdtgt=0, tokenizer=None, tpu=False, trainpref=None, use_plasma_view=False, user_dir=None, validpref=None, wandb_project=None, workers=16)
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  [en] Dictionary: 7088 types
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+ [en] ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe.en: 352 sents, 8456 tokens, 48.4% replaced (by <unk>)
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  [si] Dictionary: 7088 types
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  Wrote preprocessed data to ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Kathlyn/preprocess_en-si/
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- ▁She ▁quick ly ▁w ent ▁behind ▁some ▁light ▁cl ou d s .
6
- ▁She ▁w at ched ▁R i ver ▁and ▁s a w ▁that ▁she ▁was ▁mo ving ▁slow ly ▁now ▁- ▁as ▁if ▁she ▁was ▁re ally ▁ ti red .
7
- ▁She ▁re alised ▁it ▁had ▁been ▁a ▁h ard ▁day .
8
- ▁L ater , ▁R i ver ▁called ▁out , ▁' S un . ▁I ' m ▁s or ry .
9
- ▁D id ▁y ou ▁f e el ▁very ▁b ad ? '
10
- ▁S un ▁came ▁out ▁from ▁behind ▁the ▁cl ou d .
11
- ▁No ▁y a ar !
12
- ▁B ut ▁y ou ▁n ever ▁sc old ▁me , ▁so ▁I ▁was ▁a ▁l it t le ▁sc ared .
13
- ▁From ▁now ▁on ▁I ' l l ▁be ▁very ▁respect ful ▁of ▁y ou . '
14
- ▁S aying ▁this , ▁S un ▁g ig g led .
15
- ▁R i ver ▁g ur g led .
16
- ▁Y ou !
17
- ▁Res pec t ful !
18
- ▁H a ▁ha !
19
- ▁W e ' l l ▁see !
20
- ▁From ▁that ▁day , ▁whenever ▁S un ▁has ▁to ▁rise ▁in ▁the ▁m or n ing , ▁she ▁do es ▁so ▁slow ly .
21
- ▁First ▁she ▁send s ▁some ▁light ▁into ▁the ▁sk y ▁to ▁g ent ly ▁w ake ▁R i ver .
22
- ▁Th en ▁she ▁pe eps ▁out .
23
- ▁P s st ' , ▁she ▁s ays ▁to ▁R i ver .
24
- ▁May ▁I ▁come ▁out ▁now ? '
25
- ▁H a ▁ha ' , ▁g ur g l es ▁R i ver .
26
- ▁As ▁if ▁y ou ▁need ▁my ▁per mission . '
27
- ▁Th rough ▁the ▁day , ▁these ▁two ▁f ri end s ▁t al k , ▁following ▁each ▁other ▁through ▁the ▁world .
28
- ▁A nd ▁at ▁the ▁end ▁of ▁the ▁day , ▁the ▁S un ▁s ays , ▁' G ood ▁N ight ▁m ata j i ' ▁to ▁the ▁R i ver ▁and ▁they ▁both ▁l augh ▁at ▁the ▁jo ke .
29
- ▁Even ▁to day , ▁they ▁are ▁b est ▁f ri end s ."
30
- ▁" T he ▁f ar m er ▁had ▁a ▁d on ke y , ▁too .
31
- ▁The ▁d on ke y ▁and ▁the ▁o x ▁were ▁f ri end s .
32
- ▁At ▁the ▁end ▁of ▁the ▁day , ▁the ▁o x ▁and ▁the ▁d on ke y ▁t al k ed ▁to ▁each ▁other .
33
- ▁" I ' m ▁so ▁ ti red , " ▁the ▁o x ▁s aid .
34
- ▁" I ▁worked ▁h ard ▁all ▁day .
35
- ▁The ▁pl ough ▁is ▁b ig ▁and ▁he a v y .
36
- ▁The ▁f ar m er ▁n ever ▁le ts ▁me ▁re st ."
37
- ▁The ▁d on ke y ▁look ed ▁at ▁the ▁o x .
38
- ▁" T he ▁o x ▁is ▁la z y , " ▁he ▁though t .
39
- ▁" H e ▁do es n ' t ▁like ▁to ▁work ."
40
- ▁" D o ▁y ou ▁th ink ▁y our ▁pl ough ▁is ▁he a v y ? " ▁he ▁c ri ed .
41
- ▁" B el i e ve ▁me , ▁my ▁f ri end , ▁it ▁is ▁light !
42
- ▁I ▁was ▁carry ing ▁a ▁s ack ▁of ▁te f ▁on ▁my ▁back ▁to day .
43
- ▁" I t ▁was ▁he a vi er ▁than ▁y our ▁pl ough , ▁I ▁am ▁s ure ."
44
- ▁The ▁n ex t ▁day , ▁the ▁two ▁an im als ▁m et ▁again .
45
- ▁" I ▁had ▁a ▁b ad ▁day ▁to day , " ▁the ▁o x ▁s aid .
46
- ▁" M y ▁master ' s ▁field ▁is ▁f ar ▁aw ay , ▁and ▁it ▁was ▁f ul l ▁of ▁st on es ."
47
- ▁I ▁worked ▁h ard ▁all ▁day .
48
- ▁" I ▁d id n ' t ▁have ▁any ▁re st ."
49
- ▁" Y ou ▁worked ▁h ard ? " ▁s aid ▁the ▁d on ke y .
50
- ▁" I ▁w ent ▁to ▁the ▁mark et ▁to day ."
51
- ▁It ▁was ▁in ▁the ▁to w n , ▁many ▁k il om et res ▁aw ay .
52
- ▁" I ' m ▁s ure ▁I ▁worked ▁h arder ▁than ▁y ou ."
53
- ▁The ▁n ex t ▁day , ▁the ▁o x ▁came ▁home ▁l ate ▁again .
54
- ▁" O h , ▁my ▁f ri end , " ▁he ▁s aid ▁to ▁the ▁d on ke y .
55
- ▁" T oday ▁was ▁a ▁very ▁b ad ▁day ▁for ▁me ."
56
- ▁B ut ▁the ▁d on ke y ▁d id n ' t ▁w ant ▁to ▁l ist en ▁to ▁the ▁o x ▁any ▁more .
57
- ▁" Y ou ' re ▁al ways ▁ ti red , " ▁he ▁s aid .
58
- ▁" E very ▁day ▁is ▁a ▁b ad ▁day ▁for ▁y ou .
59
- ▁L ist en , ▁I ▁have ▁a ▁g ood ▁ ide a .
60
- ▁T om or row , ▁when ▁the ▁f ar m er ▁comes , ▁li e ▁down ▁on ▁the ▁ground .
61
- ▁C lose ▁y our ▁e y es , ▁and ▁s ay , ▁‘ M oo ! ▁M oo ! ’
62
- ▁The ▁f ar m er ▁will ▁th ink ▁that ▁y ou ▁are ▁ill .
63
- ▁He ▁will ▁le t ▁y ou ▁re st .
64
- ▁The ▁o x ▁li k ed ▁the ▁d on ke y ' s ▁ ide a .
65
- ▁" T h ank ▁y ou , ▁d ear ▁d on ke y , ▁that ' s ▁a ▁very ▁g ood ▁ ide a , " ▁he ▁s aid .
66
- ▁So ▁the ▁n ex t ▁m or n ing , ▁the ▁o x ▁l ay ▁down ▁on ▁the ▁ground .
67
- ▁W hen ▁the ▁f ar m er ▁came , ▁the ▁o x ▁clo sed ▁h is ▁e y es .
68
- ▁" M oo ! ▁M oo ! " ▁he ▁s aid .
69
- ▁The ▁f ar m er ▁look ed ▁at ▁h im .
70
- ▁" M y ▁poor ▁old ▁o x ▁is ▁sick , " ▁he ▁s aid .
71
- ▁B ut ▁I ▁mu st ▁pl ough ▁my ▁field .
72
- ▁W ho ▁will ▁help ▁me ?
73
- ▁W h y , ▁there ▁is ▁my ▁d on ke y !
74
- ▁He ▁can ▁p ul l ▁the ▁pl ough ▁to day .
75
- ▁The ▁f ar m er ▁too k ▁the ▁d on ke y ▁out ▁to ▁h is ▁field .
76
- ▁He ▁ ti ed ▁the ▁pl ough ▁to ▁the ▁d on ke y , ▁and ▁be gan ▁to ▁h it ▁h im ▁with ▁h is ▁wh ip .
77
- ▁" G o ▁on ! ▁F aster ! ▁P ul l ! " ▁he ▁called ▁out ▁to ▁the ▁d on ke y .
78
- ▁The ▁d on ke y ▁worked ▁h ard ▁all ▁day , ▁and ▁in ▁the ▁e ven ing ▁he ▁was ▁very ▁ ti red .
79
- ▁S low ly , ▁he ▁w al k ed ▁home .
80
- ▁The ▁o x ▁was ▁w a iting ▁for ▁h im .
81
- ▁" D ear ▁d on ke y , " ▁the ▁o x ▁s aid .
82
- ▁I ▁had ▁a ▁l o vely ▁day ▁to day .
83
- ▁I ▁at e ▁some ▁grass , ▁d r ank ▁some ▁water ▁and ▁I ▁res ted ▁under ▁a ▁b ig ▁tre e .
84
- ▁I ▁w ant ▁to ▁re st ▁again ▁to m or row .
85
- ▁W h at ▁sh all ▁I ▁do ?
86
- ▁G ive ▁me ▁another ▁ ide a .
87
- ▁The ▁d on ke y ▁look ed ▁at ▁the ▁o x .
88
- ▁" H is ▁work ▁is ▁much ▁w or se ▁than ▁m ine , " ▁he ▁though t .
89
- ▁" I ▁d on ' t ▁w ant ▁to ▁do ▁it ▁again ▁to m or row ."
90
- ▁" M y ▁f ri end , " ▁he ▁s aid ▁at ▁last .
91
- ▁Y ou ▁mu st ▁be ▁care ful .
92
- ▁The ▁f ar m er ▁was ▁t al king ▁to ▁h is ▁w ife ▁to day .
93
- ▁I ▁h ear d ▁h im ▁s aying ▁' M y ▁o x ▁is ▁al ways ▁ ti red ▁and ▁now ▁he ▁is ▁sick .
94
- ▁If ▁he ▁is ▁not ▁better ▁to m or row , ▁I ▁will ▁k ill ▁h im , ▁and ▁we ▁can ▁e at ▁the ▁me at .
95
- ▁The ▁o x ▁was ▁very ▁f r igh ten ed .
96
- ▁" W h at ? ▁D id ▁he ▁s ay ▁that ? " ▁he ▁c ri ed .
97
- ▁Th en ▁I ▁will ▁work ▁to m or row .
98
- ▁I ▁f e el ▁quite ▁better ▁now .
99
- ▁I ' m ▁not ▁ ti red ▁at ▁all !
100
- ▁" T h ree ▁l it t le ▁p ig s ▁l iv ed ▁happ ily ▁with ▁their ▁mother .
101
- ▁The ▁day ▁came ▁when ▁their ▁mother ▁to ld ▁them ▁to ▁go ▁out ▁into ▁the ▁world .
102
- ▁“ B uil d ▁y ours el ves ▁g ood ▁str ong ▁h ous es , ” ▁she ▁s aid , ▁“ and ▁al ways ▁w at ch ▁out ▁for ▁the ▁h y en a .”
103
- ▁“ G ood b y e ▁my ▁s ons .”
104
- ▁The ▁three ▁l it t le ▁p ig s ▁set ▁off .
105
- ▁The ▁first ▁l it t le ▁p ig ▁s a w ▁a ▁woman ▁collec ting ▁grass .
106
- ▁“ P le ase , ” ▁he ▁s aid , ▁“ G ive ▁me ▁some ▁grass ▁so ▁that ▁I ▁can ▁buil d ▁a ▁h ou se .”
107
- ▁The ▁woman ▁g a ve ▁h im ▁the ▁grass ▁and ▁l it t le ▁p ig ▁buil t ▁a ▁h ou se .
108
- ▁The ▁second ▁l it t le ▁p ig ▁m et ▁a ▁man ▁with ▁some ▁s tic k s .
109
- ▁“ P le ase ▁S ir , ” ▁s aid ▁the ▁l it t le ▁p ig , ▁“ G ive ▁me ▁some ▁s tic k s ▁so ▁that ▁I ▁can ▁buil d ▁a ▁h ou se .”
110
- ▁The ▁man ▁g a ve ▁h im ▁the ▁s tic k s ▁and ▁the ▁l it t le ▁p ig ▁buil t ▁h is ▁h ou se .
111
- ▁The ▁last ▁p ig ▁s a w ▁a ▁man ▁making ▁b r ick s .
112
- ▁“ P le ase ▁S ir , ” ▁s aid ▁the ▁l it t le ▁p ig , ▁“ g ive ▁me ▁some ▁of ▁y our ▁b r ick s .”
113
- ▁The ▁man ▁g a ve ▁the ▁l it t le ▁p ig ▁some ▁of ▁h is ▁b r ick s .
114
- ▁The ▁l it t le ▁p ig ▁buil t ▁a ▁h ou se ▁with ▁the ▁b r ick s .
115
- ▁One ▁day ▁the ▁h y en a ▁came ▁to ▁the ▁v ill age .
116
- ▁He ▁came ▁to ▁the ▁first ▁l it t le ▁p ig ’ s ▁grass ▁h ou se .
117
- ▁The ▁h y en a ▁called , ▁“ L it t le ▁p ig , ▁l it t le ▁p ig ▁le t ▁me ▁come ▁in ! ”
118
- ▁The ▁l it t le ▁p ig ▁s aid , ▁“ N o , ▁I ▁will ▁not ▁le t ▁y ou ▁in .”
119
- ▁“ W ell ▁then , ” ▁s aid ▁the ▁h y en a , ▁“ I ▁will ▁h u ff ▁and ▁I ▁will ▁pu ff ▁and ▁I ▁will ▁b low ▁y our ▁h ou se ▁down .”
120
- ▁So ▁he ▁h u ff ed ▁and ▁he ▁pu ff ed ▁and ▁he ▁b le w ▁that ▁h ou se ▁down .
121
- ▁The ▁l it t le ▁p ig ▁quick ly ▁r an ▁to ▁h is ▁b ro ther ’ s ▁s tic k ▁h ou se ▁before ▁the ▁h y en a ▁could ▁cat ch ▁h im ▁and ▁e at ▁h im .
122
- ▁The ▁h y en a ▁w ent ▁to ▁the ▁second ▁l it t le ▁p ig ’ s ▁s tic k ▁h ou se .
123
- ▁The ▁h y en a ▁called , ▁“ L it t le ▁p ig , ▁l it t le ▁p ig ▁le t ▁me ▁come ▁in ! ”
124
- ▁The ▁l it t le ▁p ig ▁s aid , ▁“ N o , ▁I ▁will ▁not ▁le t ▁y ou ▁in .”
125
- ▁“ W ell ▁then , ” ▁s aid ▁the ▁h y en a , ▁“ I ▁will ▁h u ff ▁and ▁I ▁will ▁pu ff ▁and ▁I ▁will ▁b low ▁y our ▁h ou se ▁down .”
126
- ▁So ▁he ▁h u ff ed ▁and ▁he ▁pu ff ed ▁and ▁he ▁b le w ▁that ▁h ou se ▁down .
127
- ▁The ▁two ▁l it t le ▁p ig s ▁quick ly ▁r an ▁to ▁their ▁b ro ther ’ s ▁b r ick ▁h ou se ▁before ▁the ▁h y en a ▁could ▁cat ch ▁them ▁and ▁e at ▁them .
128
- ▁The ▁h y en a ▁w ent ▁to ▁the ▁last ▁l it t le ▁p ig ’ s ▁b r ick ▁h ou se .
129
- ▁The ▁h y en a ▁called , ▁“ L it t le ▁p ig , ▁l it t le ▁p ig ▁le t ▁me ▁come ▁in ! ”
130
- ▁The ▁l it t le ▁p ig ▁s aid , ▁“ N o , ▁I ▁will ▁not ▁le t ▁y ou ▁in .”
131
- ▁“ W ell ▁then , ” ▁s aid ▁the ▁h y en a , ▁“ I ▁will ▁h u ff ▁and ▁I ▁will ���pu ff ▁and ▁I ▁will ▁b low ▁y our ▁h ou se ▁down .”
132
- ▁So ▁he ▁h u ff ed ▁and ▁he ▁pu ff ed ,
133
- ▁and ▁he ▁h u ff ed ▁and ▁he ▁pu ff ed ,
134
- ▁and ▁he ▁h u ff ed ▁and ▁he ▁pu ff ed ▁but ▁he ▁could ▁not ▁b low ▁that ▁h ou se ▁down .
135
- ▁The ▁h y en a ▁le ft ▁the ▁v ill age ▁very ▁an g ry .
136
- ▁The ▁three ▁l it t le ▁p ig s ▁l iv ed ▁very ▁happ ily ▁all ▁together ▁in ▁the ▁b r ick ▁h ou se ."
137
- ▁" O n e ▁day ▁she ▁decided ▁to ▁add ▁a ▁new ▁in g red ient ▁to ▁her ▁ma g ic ▁s p ell .
138
- ▁She ▁g rin n ed ▁and ▁s aid , ▁“ T h is ▁time ▁I ’ l l ▁turn ▁R ap un z el ▁into ▁a ▁b ig , ▁b al d ▁f ro g .”
139
- ▁After ▁she ▁prepared ▁her ▁ma g ic ▁po tion , ▁she ▁called ▁for ▁her ▁ma g ic ▁b ro om ▁and ▁s aid , ▁“ A b ra c ad ab ra , ▁v ro om , ▁v ro om , ▁v ro om !
140
- ▁T ake ▁me ▁to ▁R ap un z el ’ s ▁to w er , ▁my ▁ter ri ble , ▁ter ri ble ▁b ro om ! ”
141
- ▁B ut .. . the ▁b ro om ▁d id ▁not ▁take ▁her ▁any w h ere .
142
- ▁The ▁b ro om ▁could n ’ t ▁stand ▁it ▁any more .
143
- ▁She ▁though t , ▁“ W h at ▁d id ▁R ap un z el ▁do ▁to ▁des er ve ▁being ▁turn ed ▁into ▁a ▁f ro g ?
144
- ▁A nd ▁wh y ▁should ▁I ▁ob ey ▁that ▁w ick ed ▁old ▁w it ch ?
145
- ▁She ’ s ▁n ever ▁happy ▁with ▁any thing ▁I ▁do ▁and ▁she ▁bl am es ▁me ▁for ▁every thing .”
146
- ▁The ▁b ro om ▁decided ▁she ▁would ▁not ▁take ▁her ▁there .. . and ▁not ▁j u st ▁that .
147
- ▁W hen ▁the ▁w ick ed ▁old ▁w it ch ▁as k ed ▁her ▁to ▁go ▁right , ▁she ▁w ent ▁le ft .
148
- ▁A nd ▁when ▁she ▁d ire cted ▁her ▁to ▁the ▁E qu ator , ▁she ▁w ent ▁to ▁the ▁North ▁Po le .
149
- ▁Th at ▁w ick ed ▁old ▁w it ch ▁was ▁f ur ious ▁and ▁ma d ▁as ▁a ▁h or n et !
150
- ▁As ▁the ▁b ro om ▁l anded ▁on ▁to p ▁of ▁a ▁m oun tain , ▁the ▁w it ch ▁thre w ▁her ▁off ▁the ▁highest ▁pe ak .
151
- ▁Th en ▁she ▁c ack led , ▁“ T h is ▁is ▁what ▁y ou ▁get ▁for ▁dis o be ying ▁my ▁or d ers .. . ha ▁ha ▁ha ▁ha ! ”
152
- ▁The ▁b ro om ▁rol led ▁over ▁and ▁over .
153
- ▁W hen ▁she ▁st op p ed ▁rol l ing , ▁she ▁look ed ▁around .
154
- ▁“ W h ere ▁am ▁I ? ” ▁the ▁b ro om ▁though t , ▁“ O h , ▁this ▁is ▁the ▁col d est ▁and ▁dri est ▁place ▁I ’ ve ▁ever ▁seen .”
155
- ▁The ▁b ro om ▁sh ive red ▁from ▁the ▁col d , ▁so ▁she ▁t ri ed ▁to ▁quick ly ▁f ly ▁aw ay .
156
- ▁B ut ▁time ▁and ▁time ▁again , ▁the ▁col d ▁w ind ▁p ul led ▁her ▁back ▁down .
157
- ▁“ I ▁w ant ▁to ▁go ▁back ▁home ▁to ▁E s m eral d a .
158
- ▁At ▁least ▁it ▁was ▁co z y ▁and ▁w ar m ▁there , ” ▁the ▁b ro om ▁des per ately ▁c ri ed .
159
- ▁N ot ▁only ▁had ▁the ▁b ro om ▁l o st ▁her ▁j ob , ▁she ▁now ▁felt ▁very ▁l on ely .
160
- ▁So , ▁she ▁r an ▁and ▁r an , ▁s earch ing ▁for ▁any one ▁or ▁any thing ▁to ▁help ▁her ▁when ▁su d den ly .. . a ▁b ig ▁m us k ▁o x ▁came ▁r un n ing ▁towards ▁her .
161
- ▁B ut ▁as ▁she ▁w al k ed ▁towards ▁h im , ▁she ▁received ▁a ▁different ▁w el come ▁than ▁she ▁had ▁h op ed ▁for .
162
- ▁The ▁m us k ▁o x ▁was ▁not ▁friendly ▁at ▁all !
163
- ▁He ▁to ss ed ▁her ▁up ▁in ▁the ▁a ir ▁with ▁h is ▁b ig , ▁str ong ▁h or n s .
164
- ▁The ▁b ro om ▁f le w ▁up ▁in ▁the ▁a ir ▁and ▁l anded ▁on ▁her ▁back .
165
- ▁W hen ▁she ▁t ri ed ▁to ▁get ▁up , ▁she ▁was ▁sh oc k ed ▁by ▁what ▁she ▁s a w .
166
- ▁“ O h ▁no !
167
- ▁More ▁o x en !!
168
- ▁This ▁was ▁s ure ▁to ▁be ▁the ▁end ▁of ▁the ▁b ro om .
169
- ▁B ut ▁to ▁her ▁s ur p rise , ▁the ▁o x en ▁ ign ored ▁her ▁and ▁form ed ▁a ▁c ir cle ▁around ▁their ▁c al ves ▁to ▁protect ▁them ▁from ▁a ▁w ol f ▁that ▁was ▁n ear b y .
170
- ▁B ro om ▁was ▁happy ▁not ▁only ▁bec ause ▁the ▁m us k ▁o x en ▁for g ot ▁about ▁her , ▁but ▁bec ause ▁their ▁l it t le ▁c al ves ▁were ▁safe .
171
- ▁Th en ▁B ro om ▁had ▁a ▁g re at ▁ ide a .
172
- ▁She ’ d ▁dis g u ise ▁h ers elf ▁as ▁a ▁tre e .
173
- ▁All ▁she ▁had ▁to ▁do ▁was ▁to ▁stand ▁up side ▁down .
174
- ▁Th en ▁every one ▁would ▁th ink ▁she ’ s ▁a ▁tre e .
175
- ▁B ut ▁tre es ▁d on ’ t ▁grow ▁in ▁the ▁t und ra .. . and ▁that ’ s ▁j u st ▁where ▁she ▁found ▁h ers elf .
176
- ▁A ▁b row n ▁re in de er ▁came ▁up ▁to ▁her ▁and ▁started ▁s n iff ing ▁her ▁b ro om stic k .
177
- ▁He ▁t ro t ted ▁around ▁her ▁then ▁j u st ▁le ft .
178
- ▁B ro om ▁l am ent ed , ▁“ I ’ l l ▁be ▁st uc k ▁here ▁alone ▁f ore ver , ▁without ▁any ▁f ri end s .”
179
- ▁Th en ▁from ▁the ▁c or ner ▁of ▁her ▁e y e ▁she ▁s a w ▁a ▁b ur row ▁n ear b y .
180
- ▁She ▁care ful ly ▁pe ek ed ▁in ▁and ▁w ond ered , ▁“ W h at ’ s ▁that ▁str ange ▁h is sing ▁s ound ▁I ▁h ear ?
181
- ▁C ould ▁it ▁be ▁a ▁s n ake ? ”
182
- ▁It ▁was n ’ t ▁a ▁s n ake .
183
- ▁It ▁was ▁a ▁small ▁f l u ff y ▁wh ite ▁a r c tic ▁h are ▁who ▁in v ited ▁her ▁to ▁sta y ▁for ▁te a .
184
- ▁B ro om ▁le ft ▁the ▁b ur row ▁f e eling ▁ref resh ed , ▁“ T h at ▁was ▁so ▁kind ▁of ▁y ou , ▁h are .
185
- ▁B ut ▁I ▁have ▁only ▁these ▁b r ist l es ▁to ▁re p ay ▁y ou .
186
- ▁Per h ap s ▁y ou ▁can ▁use ▁some ▁of ▁them ▁to ▁make ▁a ▁co z y ▁cou ch ▁for ▁y ours elf ? ”
187
- ▁A r c tic ▁h are ▁sm iled ▁at ▁the ▁b ro om , ▁h u g g ed ▁her ▁g ood b y e ▁and ▁th ank ed ▁her .
188
- ▁B ro om ▁jo y ful ly ▁though t , ▁“ E s m eral d a , ▁the ▁w ick ed ▁old ▁w it ch , ▁n ever ▁th ank ed ▁me ▁before , ▁e ven ▁after ▁all ▁I ’ ve ▁done ▁for ▁her .”
189
- ▁B ro om ▁too k ▁a ▁de ep ▁b re ath ▁of ▁f resh ▁t und ra ▁a ir .
190
- ▁Th en ▁she ▁started ▁l ooking ▁for ▁other ▁cre ature s ▁to ▁help .
191
- ▁She ▁le t ▁the ▁old ▁pol ar ▁be ar ▁use ▁her ▁as ▁a ▁can e ▁while ▁he ▁c ross ed ▁the ▁f ro z en ▁l ake .
192
- ▁The ▁be ar ▁sm iled ▁and ▁th ank ed ▁her ▁for ▁her ▁help ▁and ▁j u st ▁before ▁she ▁le ft .. .. .. sh e ▁no tic ed ▁some ▁young ▁l ich en ▁l ooking ▁for ▁som ew h ere ▁to ▁set t le .
193
- ▁B ro om ▁offered ▁the ▁l ich en ▁a ▁s p ot ▁on ▁her ▁b r ist l es ▁to ▁re st ▁while ▁they ▁g re w .
194
- ▁The ▁l ich en ▁were ▁g r ate ful ▁and ▁the ▁b ro om ▁felt ▁very ▁happy ▁to ▁have ▁the ▁l ich en ▁there ▁with ▁her .
195
- ▁The ▁su n ▁was ▁about ▁to ▁set , ▁so ▁B ro om ▁decided ▁to ▁fin d ▁a ▁place ▁to ▁re st ▁for ▁the ▁n ight .
196
- ▁A nd ▁while ▁she ▁was ▁l ooking ▁for ▁shel ter , ▁her d s ▁of ▁an im als ▁s ur round ed ▁her .
197
- ▁Re in de er , ▁m us k ▁o x en , ▁fo x es , ▁h are s ▁and ▁Y ak u ti an ▁cat t le ▁all ▁enc irc led ▁her .
198
- ▁As ▁they ▁mo ved ▁clo s er , ▁b ro om ▁sh ive red .
199
- ▁H er ▁b r ist l es ▁trem bl ed ▁as ▁she ▁st ut t ered ▁“ W h .. . W h .. . W h at ▁do ▁y ou ▁w ant ? ”
200
- ▁The ▁re in de er ▁step p ed ▁for ward ▁and ▁s aid , ▁“ W e ▁would ▁like ▁y ou ▁to ▁come ▁to ▁the ▁l it t le ▁part y ▁we ’ re ▁having ▁by ▁the ▁f ro z en ▁l ake .”
201
- ▁B ro om ▁e ag er ly ▁accepted ▁the ▁in v it ation .
202
- ▁A nd ▁n ex t ▁to ▁the ▁f ro z en ▁l ake , ▁they ▁l it ▁a ▁fi re ▁and ▁w ar m ed ▁themselves ▁by ▁it .
203
- ▁They ▁had ▁so ▁much ▁f un ▁j u st ▁e ating , ▁sing ing ▁and ▁d anc ing .
204
- ▁B ro om ▁l ist en ed ▁to ▁every one ’ s ▁th r ill ing ▁adv ent ure s ▁and ▁to ld ▁them ▁all ▁about ▁the ▁mar vel l ous ▁pl ac es ▁she ▁had ▁visited .
205
- ▁H er ▁e y el id s ▁g re w ▁he a v y .
206
- ▁She ▁sm iled ▁and ▁s aid , ▁j u st ▁before ▁going ▁to ▁sleep , ▁“ T h is ▁is ▁the ▁most ▁char m ing ▁place ▁in ▁the ▁world .”
207
- ▁The ▁E nd ."
208
- ▁" As tr on om y ▁book s , ▁she ▁l o ved ▁to ▁re ad , ▁and ▁she ▁knew ▁all ▁the ▁st ar s ▁and ▁g ala x ies ▁ind eed .
209
- ▁She ▁s p ent ▁w on der ful ▁times ▁with ▁her ▁un cle , ▁M r . ▁S c op e , ▁obs erv ing ▁the ▁plan ets ▁with ▁her ▁new ▁t el esc op e .
210
- ▁She ▁was ▁so ▁happy ▁to ▁fin d ▁out ▁that ▁he ▁made ▁a ▁s p ac es h ip , ▁and ▁that ▁he ’ l l ▁take ▁her ▁with ▁h im ▁on ▁a ▁f ara w ay ▁t ri p .
211
- ▁He ▁s aid : ▁“ G et ▁ready , ▁get ▁set ▁we ’ re ▁about ▁to ▁go ! ▁To ▁visit ▁K e pl er , ▁the ▁E ar th - l ike ▁plan et ▁y ou ▁know ! ”
212
- ▁“ F or ▁my ▁s p ac es h ip ▁travel s ▁as ▁fast ▁as ▁light ! ▁A nd ▁we ’ l l ▁have ▁l ot s ▁of ▁f un ▁during ▁our ▁f light .”
213
- ▁She ▁p ut ▁on ▁her ▁s p ac es u it ▁and ▁w a ved ▁g ood b y e .
214
- ▁Th en , ▁three , ▁two , ▁one .
215
- ▁B l ast ▁off ▁to ▁the ▁sk y !
216
- ▁H er ▁un cle ▁ch e ered , ▁“ W e ’ re ▁off ▁to ▁the ▁st ar s ! ▁O ff ▁to ▁K e pl er ▁f ar ▁be y ond ▁V en us ▁and ▁M ar s .”
217
- ▁W hen ▁the ▁s p ac es h ip ▁l anded ▁on ▁K e pl er ’ s ▁s urf ace , ▁Gra ce ▁was ▁am az ed ▁by ▁all ▁its ▁be a ut y ▁and ▁f a ir ness .
218
- ▁She ▁as k ed ▁her ▁un cle ▁where ▁the ▁al i ens ▁could ▁be .
219
- ▁He ▁s aid , ▁“ Y ou ▁can ▁w at ch ▁them ▁on ▁a ▁s ci - f i ▁mo vi e .”
220
- ▁“ W e ▁d on ’ t ▁have ▁l ot s ▁of ▁time ▁to ▁s p end ▁around ▁here .
221
- ▁So , ��le t ’ s ▁collect ▁some ▁samples ▁and ▁s ou ven ir s .”
222
- ▁On ▁their ▁way ▁back , ▁they ▁no tic ed ▁some thing ▁str ange .
223
- ▁The ir ▁c ity ▁look ed ▁so ▁different ▁and ▁their ▁mo bil es ▁were ▁out ▁of ▁range !
224
- ▁H er ▁un cle ▁p ut ▁h is ▁hand ▁on ▁h is ▁head ▁and ▁s aid , ▁“ O h ▁d ear , ▁O h ▁d ear i e !
225
- ▁I ▁for g ot ▁all ▁about ▁an ▁important ▁the ory !
226
- ▁N ot ▁to ▁mention , ▁the ▁four th ▁d im en sion !
227
- ▁W e ▁though t ▁we ▁travel led ▁for ▁hours , ▁but ▁we ▁s p ent ▁years ▁and ▁years !
228
- ▁I ’ m ▁s ure ▁our ▁family ▁mu st ▁have ▁sh ed ▁l ot s ▁of ▁t ear s .”
229
- ▁Gra ce ▁was ▁happy ▁to ▁see ▁her ▁parents ▁that ▁were ▁now ▁very ▁old .
230
- ▁A nd ▁her ▁baby ▁s ister ▁was ▁also ▁a ▁col lege ▁gra du ate , ▁she ▁was ▁to ld .
231
- ▁S till , ▁being ▁back ▁with ▁her ▁family ▁felt ▁re ally ▁g re at , ▁A nd ▁on ▁this ▁happy ▁occ as ion , ▁they ▁all ▁d id ▁c e le b r ate .
232
- ▁L it t le ▁M is s ▁Gra ce ▁in ▁a st on ish ment ▁su ng , ▁“ M y ▁l it t le ▁s ister ▁g re w ▁old er , ▁but ▁I ▁stayed ▁young .”
233
- ▁The ▁E nd "
234
- ▁" I ▁d on ’ t ▁like ▁no od l es .”
235
- ▁The ▁n ex t ▁day , ▁A mm a ▁made ▁up ma ▁with ▁pe an ut s ▁and ▁pe as , ▁but ▁S am i ra ▁at e ▁only ▁the ▁pe an ut s ▁in ▁it ▁and ▁too k ▁the ▁re st ▁back ▁home .
236
- ▁“ I t ▁was ▁like ▁w et ▁s and , ” ▁she ▁s aid ▁when ▁A mm a ▁as k ed ▁her ▁wh y ▁she ▁had n ’ t ▁e at en ▁it .
237
- ▁“ S hall ▁I ▁g ive ▁y ou ▁ id l is ? ” ▁as k ed ▁A mm a .
238
- ▁“ O h , ▁y es ▁ !
239
- ▁They ▁would ▁be ▁l o vely ▁to ▁play ▁with .
240
- ▁I ▁can ▁to ss ▁and ▁cat ch ▁them .
241
- ▁B ut ▁I ▁will ▁not ▁e at ▁them — id l is ▁t ast e ▁like ▁m ud .”
242
- ▁So ▁now ▁there ▁were ▁p ara th as ▁and ▁b rin j al ▁cur ry .
243
- ▁U gh , ▁u gh , ▁u gh !
244
- ▁S h ut ting ▁her ▁ ti ff in ▁b o x ▁with ▁a ▁b ang , ▁S am i ra ▁w ent ▁to ▁the ▁school ▁cour ty ard .
245
- ▁A ▁ row ▁of ▁an ts ▁c ra w l ing ▁along ▁the ▁w all ▁s aid , ▁“ S am i ra , ▁wh y ▁are n ’ t ▁y ou ▁e ating ▁y our ▁l un ch ▁like ▁all ▁the ▁other ▁children ? ”
246
- ▁S am i ra ▁s aid , ▁“ I ▁d on ’ t ▁like ▁p ara th as .
247
- ▁I ▁d on ’ t ▁like ▁ ve ge tabl es . ▁I ▁d on ’ t ▁w ant ▁any ▁l un ch .”
248
- ▁“ O f ▁course , ▁one ▁can n ot ▁e at ▁ ve ge tabl es , ” ▁the ▁an ts ▁ag re ed .
249
- ▁They ▁offered ▁her ▁the ▁w ing ▁of ▁a ▁c oc k ro ach ▁that ▁they ▁were ▁care ful ly ▁carry ing ▁and ▁s aid , ▁“ N ow ▁t ry ▁this , ▁it ▁is ▁re ally ▁del ici ous .”
250
- ▁“ O h ▁no ! ▁I ▁d on ’ t ▁w ant ▁any ▁h or ri ble ▁c oc k ro ach es , ” ▁s aid ▁S am i ra ▁and ▁r an ▁aw ay ▁to ▁the ▁g ard en .
251
- ▁Col our ful ▁flow ers ▁were ▁blo om ing ▁in ▁the ▁g ard en ▁and ▁but ter f l ies ▁were ▁f l it ting ▁from ▁one ▁to ▁the ▁other .
252
- ▁An ▁or ange ▁but ter f ly ▁with ▁bl ack ▁checks ▁and ▁str ip es ▁s aid , ▁“ H ell o ▁S am i ra ! ▁W h y ▁are n ’ t ▁y ou ▁e ating ▁y our ▁l un ch ▁like ▁all ▁the ▁other ▁children ? ”
253
- ▁S am i ra ▁s aid , ▁“ I ▁d on ’ t ▁like ▁p ara th as .
254
- ▁I ▁d on ’ t ▁like ▁ ve ge tabl es .
255
- ▁I ▁d on ’ t ▁w ant ▁any ▁l un ch .”
256
- ▁“ O f ▁course , ▁one ▁can n ot ▁e at ▁ ve ge tabl es , ” ▁the ▁but ter f ly ▁ag re ed .
257
- ▁“ W h y ▁d on ’ t ▁y ou ▁drin k ▁some ▁n ect ar ▁from ▁the ▁flow ers ▁like ▁us ?
258
- ▁It ▁is ▁re ally ▁del ici ous .”
259
- ▁S am i ra ▁p ut ▁her ▁t ong ue ▁into ▁the ▁centre ▁of ▁a ▁flow er ▁but ▁could ▁fin d ▁n oth ing !
260
- ▁“ I ▁d on ’ t ▁w ant ▁any ▁n ect ar .
261
- ▁A nd ▁I ▁th ink ▁y ou ▁are ▁fo ol ing ▁me , ” ▁she ▁c ri ed .
262
- ▁She ▁r an ▁to ▁the ▁b ig ▁p ip al ▁tre e ▁in ▁the ▁law n .
263
- ▁A ▁c row ▁ca w ing ▁above ▁called , ▁“ H ell o ▁S am i ra ! ▁W h y ▁are n ’ t ▁y ou ▁e ating ▁y our ▁l un ch ▁like ▁all ▁the ▁other ▁children ? ”
264
- ▁S am i ra ▁s aid , ▁“ I ▁d on ’ t ▁like ▁p ara th as .
265
- ▁I ▁d on ’ t ▁like ▁ ve ge tabl es .
266
- ▁I ▁d on ’ t ▁w ant ▁any ▁l un ch .”
267
- ▁“ O f ▁course , ▁one ▁can n ot ▁e at ▁ ve ge tabl es , ” ▁the ▁c row ▁ag re ed , ▁“ H ere , ▁I ’ l l ▁g ive ▁y ou ▁some thing ▁n ice , ” ▁and ▁it ▁d ro pp ed ▁a ▁h al f e at en ▁m ou se ▁for ▁S am i ra .
268
- ▁“ O h ▁no ! ▁W h at ▁a ▁ter ri ble ▁th ing !
269
- ▁K eep ▁y our ▁m ou se ▁for ▁y ours elf , ” ▁s cre amed ▁S am i ra ▁and ▁r an ▁aw ay ▁to ▁stand ▁n ear ▁the ▁w all .
270
- ▁Some ▁s par row s ▁were ▁ch ir rup ing ▁on ▁the ▁led ge ▁of ▁the ▁w all ▁and ▁called ▁out , ▁“ H ell o ▁S am i ra ! ▁W h y ▁are n ’ t ▁y ou ▁e ating ▁y our ▁l un ch ▁like ▁all ▁the ▁other ▁children ? ”
271
- ▁S am i ra ▁s aid , ▁“ I ▁d on ’ t ▁like ▁p ara th as .
272
- ▁I ▁d on ’ t ▁like ▁ ve ge tabl es .
273
- ▁I ▁d on ’ t ▁w ant ▁any ▁l un ch .”
274
- ▁“ O f ▁course , ▁one ▁can n ot ▁e at ▁ ve ge tabl es , ” ▁the ▁s par row s ▁ag re ed .
275
- ▁“ H ere ▁are ▁some ▁cr un ch y ▁gra ins ▁of ▁b ar le y ▁ — ▁they ▁are ▁re ally ▁n utr iti ous .”
276
- ▁S am i ra ▁ch ew ed ▁one ▁and ▁made ▁a ▁face .
277
- ▁“ T h is ▁is ▁like ▁e ating ▁pe b bl es . ▁Even ▁up ma ▁is ▁better .”
278
- ▁A ▁kind ▁s par row ▁at ▁once ▁as k ed ▁her , ▁“ W ould ▁y ou ▁like ▁some ▁so ft , ▁j u ic y ▁worm s ▁in ste ad ?
279
- ▁J u st ▁a ▁min ute .. .
280
- ▁J u st ▁before ▁it ▁f le w ▁off ▁to ▁get ▁her ▁a ▁worm , ▁S am i ra ▁s aid , ▁“ W orm s ▁ind eed . ▁No , ▁th ank ▁y ou ! ▁I ▁would ▁much ▁ra ther ▁e at ▁no od l es , " ▁and ▁r an ▁to ▁the ▁g ate ▁of ▁the ▁school .
281
- ▁A ▁c ow ▁was ▁la z ily ▁ch ew ing ▁c ud ▁j u st ▁outside ▁and ▁mo o ed ▁when ▁it ▁s a w ▁S am i ra .
282
- ▁“ H ell o ! ” ▁it ▁called , ▁“ W h y ▁are n ’ t ▁y ou ▁e ating ▁y our ▁l un ch ▁like ▁all ▁the ▁other ▁children ? ”
283
- ▁S am i ra ▁s aid , ▁“ I ▁d on ’ t ▁like ▁p ara th as .
284
- ▁I ▁d on ’ t ▁like ▁ ve ge tabl es , ▁especially ▁b rin j als .
285
- ▁I ▁d on ’ t ▁w ant ▁any ▁l un ch .”
286
- ▁“ O f ▁course , ▁co o k ed ▁b rin j als ▁are n ’ t ▁n ice ▁at ▁all , ” ▁the ▁c ow ▁ag re ed .
287
- ▁“ L et ▁me ▁b ite ▁off ▁some ▁of ▁this ▁grass ▁for ▁y ou ▁ — ▁it ▁is ▁par ticul arly ▁s we et ▁after ▁the ▁ rain s .
288
- ▁Y ou ▁should ▁e at ▁it ▁with ▁the ▁h ib iscus ▁b us h ▁n ex t ▁to ▁y ou .
289
- ▁Y ou ▁are ▁so ▁l uc k y .
290
- ▁I ▁w ish ▁I ▁could ▁get ▁ins ide ▁this ▁g ate .”
291
- ▁S am i ra ▁was ▁dis g us ted .
292
- ▁She ▁s aid , ▁“ I ▁d on ’ t ▁w ant ▁to ▁e at ▁any ▁grass .
293
- ▁N or ▁any ▁b us h es .
294
- ▁Even ▁ id l is ▁would ▁t ast e ▁better ▁than ▁grass .
295
- ▁A nd ▁I ▁am ▁g la d ▁the ▁g ate ▁is ▁clo sed ▁bec ause ▁the ▁h ib iscus ▁has ▁pre t ty ▁flow ers ▁and ▁I ▁d on ’ t ▁w ant ▁y ou ▁to ▁e at ▁them .”
296
- ▁S am i ra ▁r an ▁back ▁to ▁her ▁class ro om ▁and ▁op en ed ▁her ▁l un ch ▁b o x .
297
- ▁‘ H ow ▁n ice ▁my ▁p ara th as ▁and ▁b rin j al ▁cur ry ▁are , ’ ▁she ▁though t ▁and ▁quick ly ▁at e ▁them ▁up .
298
- ▁" Rat ship i ▁was ▁known ▁by ▁every one ▁in ▁the ▁v ill age .
299
- ▁They ▁w ent ▁to ▁h is ▁sh op ▁every ▁m or n ing ▁to ▁w at ch ▁h im ▁work .
300
- ▁He ▁se em ed ▁to ▁be ▁able ▁to ▁make ▁any thing ▁with ▁h is ▁ ir on ▁and ▁st e el .
301
- ▁K g o si ▁M og ale , ▁the ▁v ill age ▁ch i e f , ▁h ear d ▁about ▁R at ship i ’ s ▁work .
302
- ▁He ▁sent ▁h is ▁serv ants ▁to ▁b r ing ▁R at ship i ▁to ▁the ▁p ala ce .
303
- ▁R at ship i ▁was ▁happy ▁to ▁h ear ▁that ▁K g o si ▁M og ale ▁w an ted ▁to ▁see ▁h im .
304
- ▁“ I ▁will ▁be ▁very ▁happy ▁to ▁work ▁for ▁the ▁ch i e f , ” ▁he ▁s aid .
305
- ▁So ▁R at ship i ▁w ent ▁to ▁the ▁p ala ce .
306
- ▁“ Rat ship i , ▁I ▁have ▁h ear d ▁about ▁y our ▁g ood ▁work , ” ▁s aid ▁K g o si ▁M og ale .
307
- ▁“ I ▁w ant ▁y ou ▁to ▁do ▁a ▁very ▁special ▁task .”
308
- ▁“ W ith ▁y our ▁ ir on ▁and ▁st e el , ▁I ▁w ant ▁y ou ▁to ▁buil d ▁a ▁man ▁who ▁can ▁w al k , ▁cr y ▁re al ▁t ear s ▁and ▁b le ed ▁re al ▁h um an ▁blood .”
309
- ▁“ I mp os sible ! ” ▁though t ▁R at ship i .
310
- ▁B ut ▁no ▁one ▁could ▁s ay ▁no ▁to ▁the ▁k ing ▁in ▁this ▁v ill age .
311
- ▁R at ship i ▁could ▁not ▁sleep ▁that ▁n ight .
312
- ▁How ▁was ▁he ▁going ▁to ▁do ▁this ▁im po s sible ▁task ?
313
- ▁He ▁was ▁very ▁sc ared ▁and ▁very ▁w or ri ed .
314
- ▁S ud den ly ▁R at ship i ▁re m em b ered ▁a ▁w ise ▁old ▁man ▁R ap ule .
315
- ▁Per h ap s ▁he ▁could ▁help .
316
- ▁B ut ▁where ▁was ▁R ap ule ?
317
- ▁He ▁had ▁dis app e ared ▁from ▁the ▁v ill age .
318
- ▁P e ople ▁s aid ▁that ▁it ▁was ▁bec ause ▁he ▁had ▁dis ple ased ▁the ▁ch i e f .
319
- ▁The ▁n ex t ▁m or n ing ▁R at ship i ▁d id ▁not ▁go ▁to ▁h is ▁sh op .
320
- ▁He ▁w ent ▁up ▁the ▁m oun tains ▁to ▁th ink .
321
- ▁While ▁w al king ▁there , ▁he ▁s a w ▁an ▁old ▁man ▁s it ting ▁under ▁a ▁tre e .
322
- ▁It ▁was ▁old ▁R ap ule !
323
- ▁“ I ▁am ▁so ▁p le ased ▁to ▁see ▁y ou , ” ▁s aid ▁R at ship i .
324
- ▁“ I ▁have ▁a ▁b ig ▁problem .”
325
- ▁He ▁to ld ▁O ld ▁R ap ule ▁the ▁whole ▁st ory .
326
- ▁O ld ▁R ap ule ▁though t ▁care ful ly , ▁and ▁then ▁he ▁s aid .. .
327
- ▁“ T ell ▁the ▁ch i e f ▁that ▁y ou ▁will ▁need ▁a ▁th ous and ▁b uc k ets ▁f ul l ▁of ▁t ear s ▁and ▁a ▁th ous and ▁A f r ic an ▁po ts ▁f ul l ▁of ▁ha ir .
328
- ▁With ▁the ▁water , ▁y ou ▁will ▁make ▁blood .
329
- ▁With ▁the ▁ha ir , ▁y ou ▁will ▁make ▁a ▁fi re ▁to ▁strengthen ▁the ▁st e el ▁man .”
330
- ▁“ T h ank ▁y ou , ▁th ank ▁y ou ! ”
331
- ▁R at ship i ▁s aid , ▁r un n ing ▁back ▁to ▁the ▁p ala ce .
332
- ▁R at ship i ▁s aid , ▁“ K g o si ▁M og ale , ▁to ▁do ▁what ▁y ou ▁as k , ▁I ▁will ▁need ▁two ▁th ing s .
333
- ▁A ▁th ous and ▁b uc k ets ▁f ul l ▁of ▁t ear s ; ▁and ▁a ▁th ous and ▁A f r ic an ▁po ts ▁filled ▁with ▁ha ir ▁from ▁the ▁heads ▁of ▁the ▁v il la g ers .”
334
- ▁K g o si ▁M og ale ▁ag re ed .
335
- ▁He ▁as k ed ▁h is ▁head m en ▁to ▁t ell ▁the ▁v il la g ers .
336
- ▁C ri es ▁were ▁h ear d ▁from ▁every ▁c or ner ▁of ▁the ▁v ill age .
337
- ▁Young ▁and ▁old ▁people ▁c ri ed ▁day ▁and ▁n ight ▁to ▁fill ▁a ▁th ous and ▁b uc k ets ▁with ▁t ear s .
338
- ▁Every ▁v il la g er ’ s ▁head ▁was ▁sh a ved ▁off ▁and ▁th row n ▁into ▁the ▁po ts .
339
- ▁B ut ▁the ▁t ear s ▁and ▁ha ir ▁of ▁all ▁the ▁v il la g ers ▁were ▁not ▁en ough ▁to ▁fill ▁the ▁b uc k ets ▁and ▁po ts .
340
- ▁E vent ual ly ▁K g o si ▁M og ale ▁g a ve ▁up ▁and ▁called ▁R at ship i ▁back ▁to ▁the ▁p ala ce .
341
- ▁“ Rat ship i , ▁y ou ▁are ▁a ▁w ise ▁man , ▁the ▁w is est ▁in ▁the ▁v ill age , ” ▁s aid ▁K g o si ▁M og ale .
342
- ▁“ W ill ▁y ou ▁do ▁me ▁the ▁h on our ▁of ▁being ▁my ▁ch i e f ▁head m an ? ”
343
- ▁R at ship i ▁sm iled .
344
- ▁“ O n ly ▁if ▁y ou ▁le t ▁old ▁R ap ule ▁come ▁back ▁to ▁the ▁v ill age , ” ▁he ▁re plied .
345
- ▁So ▁R at ship i ▁became ▁ch i e f ▁head m an .
346
- ▁THE ▁S L A V E ▁M ART ▁H a ving ▁decided ▁up on ▁the ▁f ate ▁of ▁K ath ly n , ▁the ▁n atives ▁set ▁about ▁rec ap t uring ▁the ▁w ild ▁ele ph ant .
347
- ▁It ▁too k ▁the ▁b est ▁part ▁of ▁the ▁m or n ing .
348
- ▁W hen ▁this ▁was ▁ac com pl ished ▁the ▁j our n ey ▁to ▁Al la ha ▁was ▁be g un .
349
- ▁B ut ▁for ▁the ▁days ▁of ▁pe ace ▁and ▁qu i et ▁of ▁the ▁w ild ern ess ▁and ▁the ▁con sequent ▁h ard ness ▁of ▁her ▁f l es h , ▁K ath ly n ▁would ▁have ▁suff ered ▁g re at ly .
350
- ▁H al f ▁the ▁time ▁she ▁was ▁comp ell ed ▁to ▁w al k .
351
- ▁There ▁was ▁no ▁how d a h , ▁and ▁it ▁was ▁a ▁di ffic ult ▁f e at ▁to ▁s it ▁back ▁of ▁the ▁ma h out .
352
- ▁The ▁ rough ▁sk in ▁of ▁the ▁ele ph ant ▁had ▁the ▁same ▁effect ▁up on ▁the ▁c al ves ▁of ▁her ▁le g s ▁that ▁s and pap er ▁would ▁have ▁had .
353
- ▁Some tim es ▁she ▁st um bl ed ▁and ▁f ell , ▁and ▁was ▁r ud ely ▁j er k ed ▁to ▁her ▁f e et .
354
- ▁Only ▁the ▁day ▁before ▁they ▁a r ri ved ▁was ▁she ▁rel i eved ▁in ▁any ▁way : ▁she ▁was ▁given ▁a ▁l it ter , ▁and ▁in ▁this ▁manner ▁she ▁entered ▁the ▁h ate ful ▁c ity .
355
- ▁In ▁giving ▁her ▁the ▁l it ter ▁the ▁ch i e f ▁ma h out ▁had ▁been ▁insp ire d ▁by ▁no ▁exp ress ions ▁of ▁p ity ; ▁sim ply ▁they ▁des ire d ▁her ▁to ▁app ear ▁f resh ▁and ▁at t ra c tive ▁when ▁they ▁carried ▁her ▁into ▁the ▁s la ve ▁m art .
356
- ▁In ▁f it ful ▁d ream s ▁all ▁that ▁had ▁happ en ed ▁came ▁back ▁to ▁her - - the ▁st ory ▁her ▁f a ther ▁had ▁to ld ▁about ▁s a ving ▁the ▁old ▁k ing ' s ▁life , ▁and ▁the ▁g rim , ▁ ir on ical ▁gra titude ▁in ▁making ▁Col on el ▁H are ▁h is ▁he ir - - as ▁if ▁such ▁th ing s ▁could ▁be !
357
- ▁A nd ▁then ▁her ▁own ▁j our n ey ▁to ▁Al la ha ; ▁the ▁n ight m ar ish ▁d ur b ar , ▁during ▁which ▁she ▁had ▁been ▁c row n ed ; ▁the ▁esc ap e ▁from ▁the ▁or d eal s ▁with ▁Jo h n ▁B ru ce ; ▁the ▁ter r ors ▁of ▁the ▁t em ple ▁of ▁the ▁su n ; ▁the ▁f light ▁from ▁there ▁. ▁. ▁.
358
- ▁Jo h n ▁B ru ce !
359
- ▁She ▁could ▁still ▁see ▁the ▁fi re ▁in ▁h is ▁e y es ; ▁she ▁could ▁still ▁f e el ▁the ▁to u ch ▁of ▁h is ▁g ent le ▁y et ▁ ti re l ess ▁hand .
360
- ▁W ould ▁she ▁ever ▁see ▁h im ▁again ?
361
- ▁On ▁the ▁way ▁to ▁the ▁m art ▁they ▁p as sed ▁under ▁the ▁sh ad ow ▁of ▁the ▁g rim ▁prison ▁w all s ▁of ▁the ▁p ala ce .
362
- ▁The ▁ele ph ants ▁ ve ered ▁off ▁here ▁into ▁a ▁s ide ▁st re et , ▁to ward ▁the ▁h u ge ▁s qu are ▁where ▁h ors es ▁and ▁cat t le ▁and ▁ele ph ants ▁were ▁b ough t ▁and ▁s old .
363
- ▁The ▁l it ter , ▁in ▁ch arge ▁of ▁the ▁ch i e f ▁ma h out , ▁pro ceeded ▁to ▁the ▁s la ve ▁m art .
364
- ▁K ath ly n ▁g lan ced ▁at ▁the ▁w all , ▁w on der ing .
365
- ▁W as ▁her ▁f a ther ▁al ive ?
366
- ▁W as ▁he ▁in ▁some ▁b le ak ▁c ell ▁behind ▁that ▁cr um bl ing ▁m as on ry ?
367
- ▁D id ▁he ▁know ▁that ▁she ▁was ▁here ?
368
- ▁Or ▁was ▁he ▁re ally ▁dead ?
369
- ▁A h , ▁per h ap s ▁it ▁were ▁better ▁that ▁death ▁should ▁have ▁taken ▁h im - - bet ter ▁that ▁than ▁having ▁h is ▁living ▁heart ▁w r un g ▁by ▁the ▁t ale ▁of ▁h is ▁d augh ter ' s ▁un sp e ak able ▁m is er ies .
370
- ▁Even ▁as ▁she ▁sent ▁a ▁last ▁l ing ering ▁look ▁at ▁the ▁prison ▁the ▁prison er ▁within , ▁h is ▁head ▁b ur ied ▁in ▁h is ▁th in ▁was ted ▁hands , ▁be h eld ▁her ▁in ▁a ▁vision - - b ut ▁in ▁a ▁happy , ▁jo y ous ▁vision , ▁b us ying ▁about ▁the ▁living ▁room ▁of ▁the ▁b un g al ow .
371
- ▁A nd ▁f ar ▁aw ay ▁a ▁young er ▁man ▁be h eld ▁a ▁vision ▁as ▁very ▁t ender ly ▁he ▁g az ed ▁at ▁K ath ly n ' s ▁disc ard ed ▁ro be ▁and ▁resum ed ▁h is ▁determined ▁qu est .
372
- ▁Of ten , ▁stand ing ▁b es ide ▁h is ▁e ven ing ▁fi res , ▁he ▁would ▁as k ▁the ▁silence , ▁" K ath ly n , ▁where ▁are ▁y ou ? "
373
- ▁Even ▁then ▁he ▁was ▁r id ing ▁fast ▁to ward ▁Al la ha .
374
- ▁A ▁s la ve ▁m art ▁is ▁a ▁ra re ▁th ing ▁these ▁days , ▁but ▁at ▁the ▁time ▁these ▁scen es ▁were ▁being ▁en ac ted ▁there ▁ex isted ▁many ▁of ▁them ▁here ▁and ▁there ▁across ▁the ▁face ▁of ▁the ▁g lo be .
375
- ▁M en ▁b u y ▁and ▁s ell ▁men ▁and ▁women ▁these ▁times - - en l igh ten ed , ▁so ▁they ▁s ay - - b ut ▁they ▁do ▁it ▁by ▁le g al ▁contra ct ▁or ▁from ▁v ile ▁h id ing ▁pl ac es .
376
- ▁Al la ha ▁had ▁been ▁a ▁f am ous ▁m art ▁in ▁its ▁prim e .
377
- ▁It ▁had ▁draw n ▁the ▁agents ▁of ▁prin ces ▁from ▁all ▁over ▁Ind ia .
378
- ▁P ers ia , ▁B el oo ch ist an , ▁A f gh an ist an , ▁and ▁e ven ▁s outh ern ▁R us sia ▁had ▁been ▁ ri f led ▁of ▁their ▁be au ties ▁to ▁ad or n ▁the ▁z en an as ▁of ▁the ▁s lo th ful ▁H in du ▁prin ces .
379
- ▁The ▁s la ve ▁m art ▁in ▁the ▁capital ▁to w n ▁of ▁Al la ha ▁st ood ▁in ▁the ▁center ▁of ▁the ▁b az a ar s , ▁a ▁g re at ▁s qu are ▁platform ▁with ▁a ▁ro o f , ▁but ▁op en ▁on ▁all ▁four ▁s id es .
380
- ▁H ere ▁the ▁s la ves ▁were ▁ex h ib ited , ▁the ▁poor ▁th ing s ▁intended ▁for ▁d all i ance ▁and ▁those ▁who ▁were ▁to ▁stru g g le ▁and ▁s we at ▁and ▁die ▁under ▁the ▁o vers eer ' s ▁l ash .
381
- ▁Every ▁for t n ight ▁a ▁day ▁was ▁set ▁as ide ▁for ▁the ▁b us in ess ▁of ▁the ▁m art .
382
- ▁O w ners ▁and ▁pro sp ective ▁b u y ers ▁m et , ▁ch ew ed ▁bet el - n ut , ▁smo k ed ▁their ▁h ook as , ▁s ip p ed ▁co ff e e ▁and ▁te a , ▁and ▁exch anged ▁the ▁t at t le ▁of ▁the ▁h our .
383
- ▁It ▁was ▁as ▁much ▁an ▁am use ment ▁as ▁a ▁b us in ess ; ▁ind eed , ▁it ▁was ▁the ▁ori ental ▁ ide a ▁of ▁a ▁cl ub , ▁and ▁much ▁the ▁same ▁th ing s ▁were ▁discussed .
384
- ▁Th us , ▁Ap p aj i ▁b ough t ▁a ▁be au ti ful ▁g ir l ▁at ▁the ▁last ▁b arter ▁and ▁R o y a ▁found ▁a ▁male ▁who ▁was ▁a ▁g ood ▁j u g g l er , ▁and ▁only ▁n ight ▁before ▁last ▁they ▁had ▁tra ded .
385
- ▁The ▁b az a ar s ▁were ▁not ▁what ▁they ▁used ▁to ▁be .
386
- ▁D ew an ▁Al i ▁had ▁s old ▁h is ▁w ife ▁to ▁a ▁P un j ab ▁op ium ▁m er ch ant .
387
- ▁A un ut ▁S ing h ' s ▁d augh ter ▁had ▁r un ▁aw ay ▁with ▁the ▁s on ▁of ▁a ▁b he est e e .
388
- ▁All ▁wh ite ▁people ▁at e ▁p ig .
389
- ▁A nd ▁no ▁one ▁re ad ▁the ▁s lo k as , ▁or ▁m or al , ▁st an z as , ▁any ▁more .
390
- ▁Y es , ▁the ▁E ng l ish ▁would ▁come ▁some ▁day , ▁when ▁there ▁would ▁be ▁en ough ▁mon ey ▁to ▁w ar r ant ▁it .
391
- ▁All ▁about ▁there ▁were ▁b ar k ers , ▁and ▁f ru it ▁s ell ers , ▁and ▁b ang le ▁w all as ▁( f or ▁s la ve ▁girls ▁should ▁have ▁r ing s ▁of ▁r up e e ▁s il ver ▁about ▁their ▁an k l es ▁and ▁w r ists ), ▁and ▁so le m n ▁B ra h min s , ▁and ▁men ▁who ▁p ain ted ▁red ▁and ▁o ch er ▁c ast e ▁mark s ▁on ▁one ' s ▁f ore he ad , ▁and ▁as h ▁co vered ▁f ak ir s ▁with ▁with ered ▁hands , ▁N a ut ch ▁girls , ▁girls ▁from ▁the ▁b az a ar s , ▁perip ate tic ▁j ew el ers , ▁k it es , ▁and ▁red - he ad ed ▁v ult ure s - - th is ▁being ▁a ▁proper ▁place ▁for ▁them .
392
- ▁The ▁ch i e f ▁ma h out ▁purch ased ▁for ▁K ath ly n ▁a ▁be au ti ful ▁s are e , ▁or ▁ ve il , ▁which ▁partially ▁con c eal ed ▁her ▁face ▁and ▁ha ir .
393
- ▁" C h alu ! " ▁he ▁s aid , ▁to u ch ing ▁K ath ly n ' s ▁should er , ▁whenever ▁she ▁l ag g ed , ▁for ▁they ▁had ▁dis p en sed ▁with ▁the ▁l it ter , ▁" G o ▁on ! "
394
- ▁She ▁unders t ood .
395
- ▁Out ward ly ▁she ▁app e ared ▁p as sive ▁en ough , ▁but ▁her ▁s ou l ▁was ▁on ▁fi re ▁and ▁her ▁e y es ▁as ▁b r ill i ant ▁as ▁those ▁of ▁the ▁c ir cl ing , ▁who op ing ▁k it es , ▁w at ch ing ▁that ▁m om ent ▁which ▁was ▁to ▁off er ▁some ▁l o op h ole .
396
- ▁On ▁through ▁the ▁no is y ▁b az a ar s , ▁the ▁obj ect ▁of ▁many ▁a ▁cur ious ▁re m ar k , ▁some tim es ▁ins ul ted ▁by ▁the ▁p ain ted ▁women ▁at ▁the ▁w ind ow s , ▁some tim es ▁j ested ▁at ▁by ▁the ▁ id l ers ▁around ▁the ▁m er ch ants ' ▁boo ths .
397
- ▁V ag u ely ▁she ▁w ond ered ▁if ▁some ▁one ▁of ▁her ▁an ces tors ▁had ▁not ▁been ▁ter ri b ly ▁w ick ed ▁and ▁that ▁she ▁was ▁pay ing ▁the ▁p en al ty .
398
- ▁It ▁se em ed ▁to ▁her , ▁how ever , ▁that ▁a ▁film ▁of ▁st e el ▁had ▁grow n ▁over ▁her ▁n erv es ; ▁n oth ing ▁st art led ▁her ; ▁she ▁s en sed ▁only ▁the ▁w at ch ful ness ▁she ▁had ▁often ▁noted ▁in ▁the ▁cap tives ▁at ▁the ▁f ar m .
399
- ▁At ▁length ▁they ▁came ▁out ▁into ▁the ▁b us y ▁m art .
400
- ▁The ▁old ▁ma h out ▁con g r at ulated ▁h im s elf ▁up on ▁the ▁d oc il ity ▁of ▁h is ▁fin d .
401
- ▁It ▁would ▁s ti ff en ▁the ▁b id ding ▁to ▁an n oun ce ▁that ▁she ▁was ▁g ent le .
402
- ▁He ▁e ven ▁w ent ▁so ▁f ar ▁as ▁to ▁p at ▁her ▁on ▁the ▁should er .
403
- ▁The ▁st e el ▁film ▁d id ▁not ▁cover ▁all ▁her ▁n erv es , ▁so ▁it ▁would ▁se em ; ▁the ▁p at ted ▁should er ▁was ▁vulnerable .
404
- ▁She ▁w in ced , ▁for ▁she ▁re ad ▁clearly ▁en ough ▁what ▁was ▁in ▁the ▁m ind ▁back ▁of ▁that ▁to u ch .
405
- ▁She ▁had ▁made ▁her ▁plans .
406
- ▁To ▁the ▁man ▁who ▁purch ased ▁her ▁she ▁would ▁ass um e ▁a ▁me ek ness ▁of ▁s p ir it ▁in ▁order ▁to ▁l ul l ▁h is ▁w at ch ful ness .
407
- ▁To ▁the ▁man ▁who ▁purch ased ▁her ▁. ▁. ▁.
408
- ▁K ath ly n ▁H are !
409
- ▁She ▁l augh ed .
410
- ▁The ▁old ▁man ▁behind ▁her ▁n od ded ▁appro ving ly , ▁hearing ▁the ▁s ound ▁but ▁not ▁s en sing ▁its ▁import .
411
- ▁A h , ▁when ▁the ▁m om ent ▁came , ▁when ▁the ▁fo ol ▁who ▁b ough t ▁her ▁started ▁to ▁lead ▁her ▁home , ▁she ▁would ▁be g uil e ▁h im ▁and ▁at ▁the ▁first ▁sign ▁of ▁care l ess ness ▁she ▁would ▁t ru st ▁to ▁her ▁he el s .
412
- ▁She ▁knew ▁that ▁she ▁was ▁going ▁to ▁r un ▁as ▁n ever ▁a ▁woman ▁r an ▁before ; ▁back ▁to ▁the ▁be ast s ▁of ▁the ▁j un g le , ▁who ▁at ▁least ▁made ▁no ▁effort ▁to ▁m oles t ▁her ▁so ▁long ▁as ▁she ▁k ep t ▁out ▁of ▁their ▁way .
413
- ▁W ild ▁and ▁be au ti ful ▁she ▁was ▁as ▁the ▁old ▁ma h out ▁turn ed ▁her ▁over ▁to ▁a ▁professional ▁s ell er .
414
- ▁" C irc as sian ! "
415
- ▁" F rom ▁the ▁n orth ! "
416
- ▁" A ▁b r ide ▁from ▁the ▁des er t ! "
417
- ▁" A ▁y ell ow - ha ir ! "
418
- ▁" A ▁d augh ter ▁of ▁the ▁n orth ▁se as ! "
419
- ▁The ▁old ▁ma h out ▁s qu at ted ▁close ▁by ▁and ▁rub b ed ▁h is ▁hands .
420
- ▁He ▁would ▁be ▁a ▁r ich ▁man ▁that ▁n ight ; ▁b ag s ▁of ▁r up ees ; ▁a ▁well ▁that ched ▁h ou se ▁to ▁cover ▁h is ▁gra y ▁ha ir s ▁till ▁that ▁day ▁they ▁pl ac ed ▁h im ▁on ▁the ▁p y re ▁at ▁the ▁b urn ing ▁g h at .
421
- ▁The ▁g od s ▁were ▁g ood .
422
- ▁D ur g a ▁R am , ▁known ▁famili arly ▁as ▁U m b al la , ▁at ▁this ▁h our ▁came ▁for th ▁into ▁the ▁su n sh ine , ▁b ro od ing .
423
- ▁He ▁was ▁not ▁in ▁a ▁happy ▁f ra m e ▁of ▁m ind .
424
- ▁Man y ▁th ing s ▁l ay ▁he a v y ▁up on ▁h is ▁s ou l ; ▁but ▁among ▁these ▁th ing s ▁there ▁was ▁not ▁one ▁named ▁re m or se .
425
- ▁To ▁have ▁brought ▁about ▁all ▁these ▁failures ▁this ▁though t ▁ ir k ed ▁h im ▁most .
426
- ▁H ere ▁was ▁a ▁c row n ▁almost ▁within ▁reach ▁of ▁h is ▁g re ed y ▁f ing ers , ▁the ▁water ▁to ▁T ant al us .
427
- ▁To ▁have ▁und ere s tim ated ▁this ▁y ell ow ▁ha ire d ▁young ▁woman , ▁he ▁who ▁knew ▁women ▁so ▁well - - th ere ▁l ay ▁the ▁b it ter ▁s ting .
428
- ▁He ▁had ▁been ▁too ▁im p et u ous ; ▁he ▁should ▁have ▁w a ited ▁till ▁all ▁her ▁f ear s ▁had ▁been ▁all ay ed .
429
- ▁Th at ▁s pa w n ▁of ▁S iv a , ▁the ▁m ilit ary , ▁was ▁ins ol ent ▁again , ▁and ▁r up ees ▁to ▁c ross ▁their ▁p al ms ▁were ▁scar ce .
430
- ▁W h ither ▁had ▁she ▁b low n ?
431
- ▁W as ▁she ▁dead ?
432
- ▁W as ▁she ▁al ive ?
433
- ▁The ▁wh ite ▁h un ter ▁had ▁not ▁return ed ▁to ▁h is ▁c amp ▁y et , ▁but ▁the ▁s ly ▁A h m ed ▁was ▁there .
434
- ▁The ▁per p et ual ▁g lo om ▁on ▁the ▁face ▁of ▁the ▁latter ▁was ▁re ass uring ▁to ▁U m b al la .
435
- ▁A h m ed ' s ▁master ▁had ▁not ▁found ▁her .
436
- ▁To ▁w r ing ▁the ▁wh ite ▁man ' s ▁heart ▁was ▁some thing .
437
- ▁He ▁d ared ▁not ▁p ut ▁h im ▁out ▁of ▁the ▁way ; ▁too ▁many ▁knew .
438
- ▁A nd ▁the ▁coun c il ▁was ▁be g in n ing ▁to ▁grow ▁un eas y .
439
- ▁How ▁long ▁could ▁he ▁h old ▁them ▁in ▁le ash ?
440
- ▁W h at ▁a ▁woman !
441
- ▁As ▁ma gn ific ent ▁as ▁the ▁d augh ter ▁of ▁Fi ro z , ▁sh a h ▁of ▁Del h i .
442
- ▁F ear ▁she ▁knew ▁not .
443
- ▁At ▁one ▁m om ent ▁he ▁l o ved ▁her ▁with ▁h is ▁whole ▁s ou l , ▁at ▁another ▁he ▁h ated ▁her , ▁l onged ▁to ▁get ▁her ▁into ▁h is ▁hands ▁again , ▁to ▁w re ak ▁h is ▁v en ge ance ▁up on ▁her ▁for ▁the ▁h um ili ation ▁she ▁had ▁by ▁w it ▁and ▁cou ra ge ▁he ap ed ▁up on ▁h im .
444
- ▁" I ▁am ▁ready ! "
445
- ▁He ▁could ▁h ear ▁it ▁y et .
446
- ▁W hen ▁they ▁had ▁led ▁her ▁aw ay ▁to ▁the ▁or d eal s - - " I ▁am ▁ready ! "
447
- ▁A ▁woman , ▁and ▁not ▁a f ra id ▁to ▁die !
448
- ▁Mon ey !
449
- ▁How ▁to ▁get ▁it !
450
- ▁He ▁could ▁not ▁pl un ge ▁h is ▁hand ▁into ▁the ▁treasury ; ▁there ▁were ▁too ▁many ▁about , ▁too ▁many ▁t ong u es .
451
- ▁B ut ▁Col on el ▁H are ▁knew ▁where ▁the ▁s il ver ▁bas k et ▁l ay ▁h id den , ▁he ap ed ▁with ▁g old ▁and ▁pre ci ous ▁st on es ; ▁and ▁t ort ure ▁could ▁not ▁w r ing ▁the ▁h id ing - p lace ▁from ▁h im .
452
- ▁May ▁he ▁be ▁d am n ed ▁to ▁the ▁n e ther most ▁h ell !
453
- ▁L et ▁h im , ▁D ur g a ▁R am , ▁but ▁b ur y ▁h is ▁le an ▁hands ▁in ▁that ▁treas ure , ▁and ▁D ara k a ▁s w al low ▁Al la ha ▁and ▁all ▁its ▁k ing s !
454
- ▁R ub ies ▁and ▁p ear ls ▁and ▁em eral d s , ▁and ▁a ▁f ar ▁country ▁to ▁ id le ▁in , ▁to ▁be ▁f e ted ▁in , ▁to ▁be ▁f a w n ed ▁up on ▁for ▁h is ▁r ich es !
455
- ▁A nd ▁R am ab ai ▁and ▁h is ▁w ife , ▁P und it a , ▁le t ▁them ▁be w are ; ▁le t ▁them ▁remain ▁w is ely ▁in ▁their ▁h ou se ▁and ▁m ed dle ▁not ▁with ▁affairs ▁of ▁state .
456
- ▁" A ▁th ous and ▁r up ees ! "
457
- ▁U m b al la ▁look ed ▁up ▁with ▁a ▁st art .
458
- ▁Un con s ci ous ly ▁he ▁had ▁w and ered ▁into ▁the ▁s la ve ▁m art .
459
- ▁He ▁sh ru g g ed ▁and ▁would ▁have ▁p as sed ▁on ▁but ▁for ▁the ▁str ange , ▁un us ual ▁figure ▁stand ing ▁on ▁the ▁platform .
460
- ▁A ▁g olden ▁ha ire d ▁woman ▁with ▁n eck ▁and ▁a r ms ▁like ▁Ch in ese ▁b ron ze ▁and ▁d ress ed ▁in ▁a ▁sk irt ▁of ▁grass !
461
- ▁He ▁p a us ed .
462
- ▁" T wo ▁th ous and ▁r up ees ! "
463
- ▁" W h at ! " ▁j e ered ▁the ▁professional ▁s ell er .
464
- ▁" F or ▁an ▁h ou ri ▁from ▁p ara dis e ?
465
- ▁O ▁y e ▁of ▁weak ▁h ear ts , ▁what ▁is ▁this ▁I ▁h ear ?
466
- ▁Two ▁th ous and ▁r up ees ? - - f or ▁an ▁h ou ri ▁f it ▁to ▁d w ell ▁in ▁the ▁z en an a ▁of ▁he a ven ! "
467
- ▁A ▁k een - ey ed ▁Mo h am m ed an ▁ed g ed ▁clo s er ▁to ▁the ▁platform .
468
- ▁He ▁st ared ▁and ▁suc k ed ▁in ▁h is ▁b re ath .
469
- ▁He ▁found ▁h im s elf ▁p ul led ▁two ▁ways .
470
- ▁He ▁had ▁no ▁mon ey , ▁but ▁he ▁had ▁knowledge .
471
- ▁" W ho ▁s ell s ▁this ▁ma id en ? " ▁he ▁as k ed .
472
- ▁" M o h am m ed ▁G h or i ."
473
- ▁" W h ich ▁is ▁he ? "
474
- ▁" H e ▁s qu at s ▁there ."
475
- ▁The ▁Mo h am m ed an ▁st op p ed ▁and ▁to u ched ▁the ▁old ▁ma h out ▁on ▁the ▁should er .
476
- ▁" C all ▁off ▁this ▁s ale , ▁and ▁my ▁master ▁will ▁make ▁y ou ▁r ich ."
477
- ▁The ▁old ▁s inner ▁g ing er ly ▁felt ▁of ▁the ▁s p e ak er ' s ▁co t t on ▁g ar b .
478
- ▁" A h !
479
- ▁M y ▁master ' ▁mu st ▁be ▁r ich ▁to ▁d ress ▁the e ▁in ▁co t t on .
480
- ▁W h ere ▁is ▁y our ▁g old ?
481
- ▁B id , " ▁s ati r ical ly .
482
- ▁" T wo ▁th ous and ▁r up ees ! " ▁sh ou ted ▁the ▁professional ▁s ell er .
483
- ▁" I ▁have ▁no ▁g old , ▁but ▁my ▁master ▁will ▁g ive ▁10,000 ▁r up ees ▁for ▁y on der ▁ma id .
484
- ▁Qu ick !
485
- ▁O ld ▁fo ol , ▁be ▁quick ! "
486
- ▁" B eg one , ▁th ou ▁be g g ar ! "
487
- ▁A nd ▁the ▁old ���man ▁s p at .
488
- ▁" M em - s a h ib , " ▁the ▁Mo h am m ed an ▁called ▁out ▁in ▁E ng l ish , ▁" d o ▁not ▁look ▁to ward ▁me , ▁or ▁all ▁will ▁be ▁l o st .
489
- ▁I ▁am ▁Al i , ▁B ru ce ▁S a h ib ' s ▁ch i e f ▁ma h out ; ▁and ▁we ▁have ▁bel i eved ▁y ou ▁dead !
490
- ▁T ake ▁care !
491
- ▁I ▁go ▁to ▁inform ▁A h m ed .
492
- ▁B ru ce ▁S a h ib ▁has ▁not ▁return ed ."
493
- ▁K ath ly n , ▁when ▁she ▁h ear d ▁that ▁v o ice , ▁sh ut ▁her ▁e y es .
494
- ▁U m b al la ▁had ▁draw n ▁clo s er .
495
- ▁There ▁was ▁some thing ▁about ▁this ▁h al f ▁ ve iled ▁s la ve ▁that ▁s ti r red ▁h is ▁rec ol lec tion .
496
- ▁W h ere ▁had ▁he ▁seen ▁that ▁gra ce ful ▁po ise ?
497
- ▁The ▁c le arn ess ▁of ▁the ▁sk in , ▁though ▁d ar k ; ▁the ▁ round ness ▁of ▁the ▁th ro at ▁and ▁a r ms . ▁. ▁. ▁.
498
- ▁" T h ree ▁th ous and ▁r up ees ! "
499
- ▁The ▁old ▁ma h out ▁pur red ▁and ▁smooth ed ▁h is ▁p al ms ▁together .
500
- ▁Three ▁th ous and ▁r up ees , ▁a ▁ra j a h ' s ▁r ans om !
501
- ▁He ▁would ▁own ▁h is ▁ele ph ant ; ▁h is ▁w ife ▁should ▁r ide ▁in ▁a ▁g il ded ▁p al an qu in , ▁and ▁h is ▁children ▁should ▁w ear ▁sh o es .
502
- ▁Three ▁th ous and ▁r up ees !
503
- ▁He ▁f ol ded ▁h is ▁a r ms ▁and ▁w al k ed ▁g ent ly ▁to ▁and ▁f ro .
504
- ▁" Five ▁th ous and ▁r up ees ! " ▁s aid ▁U m b al la , ▁im p ell ed ▁by ▁he ▁knew ▁not ▁what ▁to ▁make ▁this ▁b id .
505
- ▁A ▁ ri p ple ▁of ▁s ur p rise ▁r an ▁over ▁the ▁c row d .
506
- ▁The ▁reg ent , ▁the ▁power ful ▁D ur g a ▁R am , ▁was ▁b id ding ▁in ▁person ▁for ▁h is ▁z en an a .
507
- ▁K ath ly n ' s ▁n erv es ▁t ing led ▁with ▁life ▁again , ▁and ▁the ▁su d den ▁bound ing ▁of ▁her ▁heart ▁s tif led ▁her .
508
- ▁U m b al la !
509
- ▁She ▁was ▁s ure ly ▁l o st .
510
- ▁So on er ▁or ▁later ▁he ▁would ▁reco gn ize ▁her .
511
- ▁The ▁ma h out ▁st ood ▁up , ▁del igh ted .
512
- ▁He ▁was ▁ind eed ▁for t un ate .
513
- ▁He ▁s ala amed .
514
- ▁" H u z o or , ▁she ▁is ▁g ent le , " ▁he ▁s aid .
515
- ▁The ▁high - c ast e ▁who ▁had ▁b id ▁3,000 ▁r up ees ▁s ala amed ▁also .
516
- ▁" H igh ness , ▁she ▁is ▁y ours , " ▁he ▁s aid .
517
- ▁" I ▁can ▁not ▁b id ▁against ▁my ▁reg ent ."
518
- ▁It ▁was ▁the ▁c u st om ▁to ▁mark ▁a ▁purch ased ▁s la ve ▁with ▁the ▁c ast e ▁of ▁her ▁purch as er .
519
- ▁U m b al la , ▁still ▁not ▁reco gn izing ▁her , ▁w a ved ▁her ▁as ide ▁to ward ▁the ▁B ra h min ▁c ast e ▁mark ers , ▁one ▁of ▁wh om ▁d au b ed ▁her ▁f ore he ad ▁with ▁a ▁y ell ow ▁t ri ang le .
520
- ▁H er ▁blue ▁e y es ▁p ier ced ▁the ▁cur ious ▁b row n ▁on es .
521
- ▁" T he ▁s a h ib ▁at ▁the ▁ ri ver , " ▁she ▁wh is p ered ▁in ▁b ro k en ▁H in du st an i .
522
- ▁" M an y ▁r up ees . ▁B r ing ▁h im ▁to ▁the ▁h ou se ▁of ▁D ur g a ▁R am ."
523
- ▁This ▁in ▁case ▁Al i ▁f a iled .
524
- ▁The ▁B ra h min ' s ▁e y es ▁tw ink led .
525
- ▁H er ▁H in du st an i ▁was ▁ex ec ra ble , ▁but ▁" s a h ib " ▁and ▁" ri ver " ▁were ▁p la in ▁to ▁h is ▁understand ing .
526
- ▁There ▁was ▁but ▁one ▁s a h ib ▁by ▁the ▁ ri ver , ▁and ▁he ▁was ▁the ▁wh ite ▁h un ter ▁who ▁had ▁res c u ed ▁the ▁v an ished ▁qu een ▁from ▁the ▁or d eal s .
527
- ▁He ▁n od ded ▁almost ▁im per cep ti b ly .
528
- ▁In ward ly ▁he ▁sm iled .
529
- ▁He ▁was ▁not ▁above ▁giving ▁the ▁ha u gh ty ▁up st art ▁a ▁Th u g ge e ' s ▁tw ist .
530
- ▁He ▁s po ke ▁to ▁h is ▁n e igh bor ▁qu i et ly , ▁ass igned ▁to ▁h im ▁h is ▁b ow ls ▁and ▁b r us h es , ▁ro se , ▁and ▁made ▁off .
531
- ▁" F ollow ▁me , " ▁s aid ▁U m b al la ▁to ▁the ▁happy ▁ma h out .
532
- ▁Present ly ▁he ▁would ▁have ▁h is ▁b ag s ▁of ▁s il ver , ▁b r ight ▁and ▁tw ink l ing .
533
- ▁F ate ▁over t ook ▁Al i , ▁who ▁in ▁h is ▁ma d ▁ra ce ▁to ▁H are ' s ▁c amp ▁f ell ▁and ▁b ad ly ▁s p rain ed ▁h is ▁an k le .
534
- ▁Mo aning , ▁less ▁from ▁the ▁p ain ▁than ▁from ▁the ▁attend ant ▁hel pl ess ness , ▁he ▁was ▁carried ▁into ▁the ▁h ut ▁of ▁a ▁kind ly ▁r y ot ▁and ▁there ▁min ist ered ▁to .
535
- ▁The ▁B ra h min , ▁how ever , ▁filled ▁with ▁g re ed ▁and ▁a ▁s ly ▁h um or , ▁reached ▁h is ▁d est ination ▁in ▁safety .
536
- ▁N atur ally ▁c un n ing , ▁d ou ble ▁t ong u ed , ▁s ly , ▁in gra ti ating , ▁after ▁the ▁manner ▁of ▁all ▁B ra h min s , ▁who ▁will ▁s ink ▁to ▁any ▁base ▁level ▁in ▁order ▁to ▁attain ▁their ▁equ iv oc al ▁end s ▁h is ▁actions ▁were ▁unh amp ered ▁by ▁any ▁s en se ▁of ▁tre ach ery ▁to ward ▁U m b al la .
537
- ▁A ▁Th u g ge e ' s ���tw ist ▁to ▁the ▁s ch em es ▁of ▁the ▁st re et ▁r at ▁U m b al la , ▁who ▁w ore ▁the ▁B ra h min ▁str ing , ▁to ▁which ▁he ▁had ▁no ▁right !
538
- ▁The ▁B ra h min ▁ch uc k led ▁as ▁he ▁p a us ed ▁at ▁the ▁ed ge ▁of ▁B ru ce ' s ▁c amp .
539
- ▁A ▁fat ▁pur se ▁l ay ▁y on der .
540
- ▁He ▁approach ed , ▁h is ▁out ward ▁de m e an or ▁a ▁m ix ture ▁of ▁p r ide ▁and ▁h um il ity .
541
- ▁B ru ce ▁had ▁return ed ▁but ▁h al f ▁an ▁h our ▁before , ▁m ind ▁w ear y , ▁b one ▁ ti red .
542
- ▁He ▁s at ▁with ▁h is ▁head ▁in ▁h is ▁hands , ▁h is ▁el b ow s ▁pro pp ed ▁up on ▁h is ▁kn ees .
543
- ▁H is ▁young ▁heart ▁was ▁he a v y .
544
- ▁He ▁had ▁s earch ed ▁the ▁be w il der ing ▁j un g le ▁as ▁one ▁might ▁s earch ▁a ▁plot ▁of ▁grass ▁before ▁one ' s ▁do or , ▁b la de ▁by ▁b la de .
545
- ▁A ▁hundred ▁times ▁he ▁had ▁found ▁tra ces ▁of ▁her ; ▁a ▁hundred ▁times ▁he ▁had ▁called ▁out ▁her ▁name , ▁only ▁to ▁be ▁mo ck ed ▁and ▁g ib b ered ▁at ▁by ▁ap es .
546
- ▁She ▁had ▁v an ished ▁like ▁a ▁per f um e , ▁like ▁a ▁cl ou d ▁sh ad ow ▁in ▁the ▁w ind .
547
- ▁H is ▁s ou l ▁was ▁b it ter ; ▁for ▁he ▁had ▁buil t ▁many ▁d ream s , ▁and ▁al ways ▁this ▁f a ir ▁ha ire d ▁g ir l ▁had ▁r id den ▁up on ▁them .
548
- ▁So ▁st ra ight ▁she ▁st ood , ▁so ▁c al m ▁in ▁the ▁e y es , ▁mann ered ▁with ▁that ▁g ent l en ess , ▁known ▁of ▁the ▁b ra ve . ▁. ▁. ▁.
549
- ▁G one , ▁and ▁skill ed ▁as ▁he ▁was ▁in ▁j un g le ▁l ore , ▁he ▁could ▁not ▁fin d ▁her .
550
- ▁" S a h ib , ▁a ▁B ra h min ▁des ire s ▁a ud i ence ."
551
- ▁" As k ▁h im ▁what ▁he ▁w ants ."
552
- ▁" I t ▁is ▁for ▁the ▁s a h ib ' s ▁ear ▁alone ."
553
- ▁" A h ! ▁B r ing ▁h im ▁to ▁me ▁quick ly ."
554
- ▁The ▁B ra h min ▁approach ed , ▁s ala amed .
555
- ▁" W h at ▁do ▁y ou ▁w ish ? "
556
- ▁B ru ce ▁as k ed ▁cur t ly .
557
- ▁" A ▁th ous and ▁r up ees , ▁H u z o or ! " ▁b land ly .
558
- ▁" A nd ▁what ▁have ▁y ou ▁that ▁is ▁w orth ▁that ▁many ▁r up ees ? " ▁ ir r it ab ly .
559
- ▁The ▁B ra h min ▁s ala amed ▁again .
560
- ▁" H u z o or , ▁a ▁s la ve ▁this ▁day ▁was ▁purch ased ▁by ▁D ur g a ▁R am , ▁U m b al la , ▁so - c alled . ▁She ▁has ▁sk in ▁the ▁col or ▁of ▁old ▁t us k s , ▁and ▁e y es ▁like ▁t ur qu o ise , ▁and ▁l ip s ▁like ▁the ▁f l ame ▁of ▁the ▁j un g le , ▁and ▁ha ir ▁like ▁the ▁s and s ▁of ▁G anges , ▁mother ▁of ▁ ri vers ."
561
- ▁B ru ce ▁was ▁up on ▁h is ▁f e et , ▁al ive , ▁e ag er .
562
- ▁He ▁c aught ▁the ▁B ra h min ▁by ▁the ▁a rm .
563
- ▁" I s ▁this ▁woman ▁wh ite ? " ▁h ar sh ly .
564
- ▁" H u z o or , ▁the ▁women ▁of ▁Al la ha ▁are ▁al ways ▁d ar k ▁of ▁ha ir ."
565
- ▁" A nd ▁was ▁s old ▁as ▁a ▁s la ve ? "
566
- ▁" To ▁D ur g a ▁R am , ▁the ▁k ing ▁without ▁a ▁c row n , ▁H u z o or . ▁It ▁is ▁w orth ▁a ▁th ous and ▁r up ees , " ▁sm il ing .
567
- ▁" T ell ▁me , " ▁s aid ▁B ru ce , ▁still ing ▁the ▁trem or ▁in ▁h is ▁v o ice , ▁" t ell ▁me , ▁d id ▁she ▁follow ▁h im ▁without ▁a ▁stru g g le ? "
568
- ▁" Y es . ▁B ut ▁would ▁a ▁stru g g le ▁have ▁done ▁any ▁g ood ? "
569
- ▁B ru ce ▁too k ▁out ▁h is ▁w alle t ▁and ▁coun ted ▁out ▁a ▁th ous and ▁r up ees ▁in ▁Bank ▁of ▁Ind ia ▁not es .
570
- ▁" N ow , ▁l ist en .
571
- ▁U m b al la ▁mu st ▁not ▁know ▁that ▁I ▁know .
572
- ▁On ▁y our ▁head , ▁re m ember ."
573
- ▁" H u z z or , ▁the ▁w ord ▁of ▁a ▁B ra h min ."
574
- ▁" A h , ▁y es ; ▁but ▁I ▁have ▁l iv ed ▁long ▁here . ▁W h ere ▁is ▁Al i ? " ▁c ri ed ▁B ru ce , ▁turn ing ▁to ▁one ▁of ▁h is ▁men .
575
- ▁" H e ▁w ent ▁into ▁the ▁c ity ▁this ▁m or n ing , ▁S a h ib , ▁and ▁has ▁not ▁return ed ."
576
- ▁" C ome , " ▁s aid ▁B ru ce ▁to ▁the ▁w a iting ▁B ra h min , ▁" W e ' l l ▁return ▁together ."
577
- ▁He ▁now ▁felt ▁no ▁ex c ite ment ▁at ▁all ; ▁it ▁was ▁as ▁if ▁he ▁had ▁been ▁imm ers ed ▁in ▁ ice ▁water .
578
- ▁It ▁was ▁K ath ly n , ▁not ▁the ▁least ▁d ou b t ▁of ▁it , ▁b ough t ▁and ▁s old ▁in ▁the ▁s la ve ▁m art .
579
- ▁M is ery , ▁de gra d ation ▁. ▁. ▁. ▁then ▁he ▁sm iled .
580
- ▁He ▁knew ▁K ath ly n ▁H are .
581
- ▁If ▁he ▁d id ▁not ▁come ▁to ▁her ▁a id ▁quick ly ▁she ▁would ▁be ▁dead .
582
- ▁N ow , ▁when ▁U m b al la ▁too k ▁her ▁into ▁h is ▁h ou se , ▁K ath ly n ▁was ▁determined ▁to ▁re ve al ▁her ▁ identi ty .
583
- ▁She ▁had ▁p as sed ▁through ▁the ▁or d eal s ; ▁she ▁was , ▁in ▁law , ▁a ▁qu een , ▁with ▁life ▁and ▁death ▁in ▁her ▁hands .
584
- ▁" D o ▁not ▁to u ch ▁me ! " ▁she ▁c ri ed ▁slow ly ▁in ▁E ng l ish .
585
- ▁U m b al la ▁step p ed ▁back .
586
- ▁" I ▁am ▁K ath ly n ▁H are , ▁and ▁if ▁all ▁the ▁world ▁is ▁not ▁made ▁up ▁of ▁lies ▁and ▁w ick ed ness , ▁I ▁am ▁the ▁qu een ▁y ou ▁y ours elf ▁made .
587
- ▁I ▁can ▁s p e ak ▁a ▁few ▁w ord s , ▁en ough ▁to ▁make ▁m ys elf ▁known ▁to ▁the ▁p op ul ace .
588
- ▁I ▁will ▁make ▁a ▁b ar g ain ▁with ▁y ou .
589
- ▁I ▁will ▁g ive ▁y ou ▁five ▁times ▁five ▁th ous and ▁r up ees ▁if ▁y ou ▁will ▁deliver ▁me ▁saf ely ▁in ▁P es ha w er .
590
- ▁On ▁my ▁part , ▁I ▁pro m ise ▁to ▁s ay ▁n oth ing , ▁n oth ing ."
591
- ▁U m b al la ▁ra ised ▁both ▁h is ▁hands ▁in ▁a st on ish ment .
592
- ▁He ▁knew ▁now ▁wh y ▁that ▁form ▁had ▁s ti r red ▁h is ▁rec ol lec tion .
593
- ▁" Y ou ! "
594
- ▁He ▁l augh ed ▁and ▁cl app ed ▁h is ▁hands ▁to ▁summ on ▁h is ▁serv ants .
595
- ▁K ath ly n , ▁re al izing ▁that ▁it ▁was ▁us el ess ▁to ▁at t em p t ▁to ▁mo ve ▁this ▁man , ▁turn ed ▁and ▁started ▁to ▁r un , ▁but ▁he ▁inter cep ted ▁her .
596
- ▁" M y ▁qu een , ▁my ▁b r ide ▁that ▁was ▁to ▁be , ▁the ▁g olden ▁h ou ri ! ▁F ive ▁times ▁five ▁th ous and ▁r up ees ▁would ▁not ▁purchase ▁a ▁ha ir ▁of ▁y our ▁head ."
597
- ▁" I ▁am ▁y our ▁qu een ! "
598
- ▁B ut ▁she ▁s aid ▁it ▁without ▁heart .
599
- ▁" W h at !
600
- ▁D o ▁y ou ▁bel i e ve ▁that ?
601
- ▁H a ving ▁p as sed ▁the ▁or d eal s ▁y ou ▁n ul l ified ▁the ▁effect ▁by ▁r un n ing ▁aw ay .
602
- ▁Y ou ▁will ▁be ▁wh ate ver ▁I ▁ch o ose !
603
- ▁O h , ▁it ▁will ▁be ▁legally ▁done .
604
- ▁Y ou ▁sh all ▁go ▁with ▁me ▁to ▁the ▁coun c il , ▁and ▁the ▁four ▁of ▁us ▁sh all ▁dec ide .
605
- ▁A h , ▁y ou ▁would ▁not ▁be ▁my ▁w ife ! "
606
- ▁" Y ou ▁sh all ▁die , ▁D ur g a ▁R am , " ▁she ▁re plied , ▁" and ▁it ▁will ▁be ▁the ▁death ▁of ▁a ▁par ia h ▁d og ."
607
- ▁" A h !
608
- ▁S till ▁that ▁s p ir it ▁which ▁I ▁l o ved .
609
- ▁W h y , ▁d id ▁I ▁not ▁b u y ▁y ou ▁without ▁know ing ▁who ▁y ou ▁were ?
610
- ▁A re ▁y ou ▁not ▁m ine ?
611
- ▁At ▁this ▁very ▁m om ent ▁I ▁could ▁place ▁y ou ▁in ▁my ▁z en an a ▁and ▁who ▁would ▁ever ▁know ?
612
- ▁A nd ▁soon ▁y ou ▁would ▁not ▁w ant ▁any ▁one ▁to ▁know ."
613
- ▁" A re ▁y ou ▁without ▁m er cy ? "
614
- ▁" M er cy ?
615
- ▁I ▁know ▁not ▁the ▁w ord .
616
- ▁B ut ▁I ▁have ▁an ▁am b ition ▁which ▁s ur p ass es ▁all ▁other ▁th ing s .
617
- ▁M y ▁w ife ▁y ou ▁sh all ▁be , ▁or ▁w or se .
618
- ▁B ut ▁legally , ▁al ways ▁legally ! "
619
- ▁He ▁l augh ed ▁again ▁and ▁s wif t ly ▁c aught ▁her ▁in ▁h is ▁a r ms .
620
- ▁She ▁stru g g led ▁like ▁a ▁ tig ress , ▁but ▁without ▁avail .
621
- ▁He ▁co vered ▁her ▁face ▁and ▁n eck ▁with ▁k is ses , ▁then ▁th ru st ▁her ▁as ide .
622
- ▁" Po or ▁l it t le ▁fo ol !
623
- ▁If ▁y ou ▁had ▁wh ined ▁and ▁wh im p ered ▁I ▁should ▁have ▁le t ▁y ou ▁go ▁long ▁since .
624
- ▁B ut ▁there ▁b urn s ▁within ▁y ou ▁a ▁s p ir it ▁I ▁mu st ▁con qu er , ▁and ▁con qu er ▁I ▁will ! "
625
- ▁K ath ly n ▁st ood ▁p ant ing ▁against ▁a ▁p ill ar .
626
- ▁H ad ▁she ▁held ▁a ▁we ap on ▁in ▁her ▁hand ▁she ▁would ▁have ▁k illed ▁h im ▁without ▁comp unc tion , ▁as ▁one ▁cr us h es ▁a ▁po is on ous ▁vi per .
627
- ▁" L eg ally !
628
- ▁W h y , ▁all ▁the ▁c rim es ▁in ▁H ind ▁are ▁done ▁under ▁that ▁w ord .
629
- ▁It ▁is ▁the ▁sh ib bo le th ▁of ▁the ▁B ri ti sh ▁Raj .
630
- ▁L eg ally !
631
- ▁C ome ! "
632
- ▁" I ▁will ▁not ▁s ti r ! "
633
- ▁" T hen ▁be ▁carried , " ▁he ▁re plied , ▁b eck on ing ▁h is ▁serv ants .
634
- ▁" N o , ▁no ! "
635
- ▁" A h ! ▁Well , ▁then , ▁we ' l l ▁r ide ▁together ▁in ▁the ▁p al an qu in ."
636
- ▁To ▁stru g g le ▁would ▁re ward ▁her ▁with ▁n oth ing ▁but ▁sh ame ▁and ▁h um ili ation ; ▁so ▁she ▁b ent ▁her ▁head ▁to ▁the ▁inevitable .
637
- ▁A ▁p as sion ate ▁long ing ▁to ▁be ▁re ven g ed ▁up on ▁this ▁man ▁be gan ▁to ▁cons um e ▁her .
638
- ▁She ▁w an ted ▁the ▁f e el ▁of ▁h is ▁b row n ▁th ro at ▁in ▁her ▁f ing ers ; ▁w an ted ▁to ▁be at ▁h im ▁down ▁to ▁h is ▁kn ees , ▁to ▁tw ist ▁and ▁cr us h ▁h im .
639
- ▁B ut ▁she ▁was ▁a ▁woman ▁and ▁she ▁had ▁not ▁the ▁stren gth ▁of ▁a ▁man .
640
- ▁" B e h old ! " ▁c ri ed ▁U m b al la ▁later , ▁as ▁he ▁entered ▁the ▁presence ▁of ▁the ▁coun c il , ▁" be h old ▁a ▁s la ve ▁of ▁m ine ! "
641
- ▁He ▁p us h ed ▁K ath ly n ▁for ward .
642
- ▁" T h is ▁day ▁I ▁b ough t ▁her ▁for ▁five ▁th ous and ▁r up ees ."
643
- ▁The ▁coun c il ▁s ti r red ▁n erv ous ly .
644
- ▁" D o ▁y ou ▁not ▁reco gn ize ▁her ? " ▁ex ultant ly .
645
- ▁The ▁coun c il ▁wh is p ered ▁to ▁one ▁another .
646
- ▁" L eg ally ▁she ▁is ▁m ine , ▁though ▁she ▁has ▁been ▁a ▁qu een .
647
- ▁B ut ▁by ▁r un n ing ▁aw ay ▁she ▁has ▁for f e ited ▁her ▁rights ▁to ▁the ▁law ▁of ▁the ▁or d eal s .
648
- ▁A m ▁I ▁not ▁right ? "
649
- ▁The ▁coun c il ▁n od ded ▁gra vely .
650
- ▁They ▁had ▁not ▁y et ▁wh ol ly ▁reco vered ▁from ▁their ▁be w il der ment .
651
- ▁" O n ▁the ▁other ▁hand , ▁her ▁ identi ty ▁mu st ▁remain ▁a ▁sec ret ▁till ▁I ▁have ▁developed ▁my ▁plans , " ▁continued ▁U m b al la .
652
- ▁" Y ou ▁are ▁all ▁cour ting ▁a ▁ter ri ble ▁re p ris al , " ▁s aid ▁K ath ly n .
653
- ▁" I ▁be g ▁of ▁y ou ▁to ▁k ill ▁me ▁at ▁once ; ▁do ▁not ▁pro l ong ▁my ▁t ort ure , ▁my ▁m is ery .
654
- ▁I ▁have ▁h ar m ed ▁n one ▁of ▁y ou , ▁but ▁y ou ▁have ▁g ri e v ous ly ▁h ar m ed ▁me .
655
- ▁One ▁e ven ▁now ▁se eks ▁a id ▁of ▁the ▁B ri ti sh ▁Raj ; ▁and ▁there ▁are ▁many ▁s old iers ."
656
- ▁The ▁thre at ▁was ▁ill ▁tim ed .
657
- ▁The ▁head ▁of ▁the ▁coun c il ▁s aid ▁to ▁U m b al la : ▁" I t ▁would ▁be ▁w ise ▁to ▁lock ▁her ▁up ▁for ▁the ▁present . ▁W e ▁all ▁face ▁a ▁g re at ▁compl ication ."
658
- ▁" A ▁very ▁w ise ▁counsel , " ▁ag re ed ▁U m b al la , ▁know ing ▁that ▁he ▁had ▁but ▁to ▁s ay ▁the ▁w ord ▁to ▁d est ro y ▁them ▁all .
659
- ▁" A nd ▁she ▁sh all ▁have ▁comp an y .
660
- ▁I ▁would ▁not ▁have ▁her ▁l on ely .
661
- ▁C ome , ▁maj est y ; ▁de ign ▁to ▁follow ▁y our ▁h um ble ▁serv ant ."
662
- ▁U m b al la ▁s ala amed .
663
- ▁K ath ly n ▁was ▁led ▁to ▁a ▁c ell ▁in ▁the ▁p ala ce ▁prison , ▁whose ▁w all s ▁she ▁had ▁but ▁a ▁l it t le ▁while ▁ag o ▁view ed ▁in ▁p as sing , ▁and ▁th ru st ▁ins ide .
664
- ▁A ▁single ▁w ind ow ▁ad mitted ▁a ▁f ain t ▁light .
665
- ▁U m b al la ▁remained ▁by ▁the ▁do or , ▁ch uc k l ing ▁so ft ly .
666
- ▁Present ly , ▁her ▁e y es ▁becoming ▁acc u st om ed ▁to ▁the ▁d ar k , ▁K ath ly n ▁disc o vered ▁a ▁man ▁chain ed ▁to ▁a ▁p ill ar .
667
- ▁The ▁man ▁su d den ly ▁le an ed ▁for ward .
668
- ▁" K it , ▁my ▁K it ! "
669
- ▁" F a ther ! "
670
- ▁She ▁c aught ▁h im ▁to ▁her ▁breast ▁in ▁her ▁str ong ▁young ▁a r ms , ▁c ro on ed ▁to ▁h im , ▁and ▁k issed ▁h is ▁mat ted ▁head .
671
- ▁A nd ▁they ▁st ood ▁that ▁way ▁for ▁a ▁long ▁time .
672
- ▁At ▁this ▁very ▁m om ent ▁there ▁app e ared ▁before ▁the ▁coun c il ▁a ▁w ild ▁e yed , ▁dis he vel ed ▁young ▁man .
673
- ▁How ▁he ▁had ▁p as sed ▁the ▁p ala ce ▁gu ard ▁n one ▁of ▁them ▁knew .
674
- ▁" A ▁wh ite ▁woman ▁was ▁brought ▁into ▁this ▁room ▁for ci b ly ▁a ▁few ▁minutes ▁ag o .
675
- ▁I ▁demand ▁her !
676
- ▁A nd ▁by ▁the ▁G od ▁of ▁my ▁f a ther ▁I ▁will ▁c ut ▁out ▁the ▁heart ▁of ▁every ▁one ▁of ▁y ou ▁if ▁y ou ▁den y ▁me !
677
- ▁She ▁is ▁wh ite ; ▁she ▁is ▁of ▁my ▁ra ce ! "
678
- ▁" T h ere ▁is ▁no ▁wh ite ▁woman ▁here , ▁B ru ce ▁S a h ib ."
679
- ▁" Y ou ▁li e ! " ▁th und ered ▁the ▁young ▁man .
680
- ▁Two ▁gu ards ▁came ▁in ▁quick ly .
681
- ▁" I ▁s ay ▁y ou ▁li e ! ▁She ▁was ▁seen ▁to ▁enter ▁here ! "
682
- ▁" S e ize ▁h im ! "
683
- ▁A ▁fi er ce ▁stru g g le ▁between ▁the ▁gu ards ▁and ▁B ru ce ▁followed ; ▁but ▁h is ▁ra ce ▁to ▁the ▁c ity ▁and ▁the ▁attend ant ▁ex c ite ment ▁had ▁we aken ed ▁h im .
684
- ▁He ▁was ▁carried ▁aw ay , ▁still ▁f igh ting ▁man ful ly .
685
- ▁In ▁the ▁me an tim e ▁U m b al la ▁con c lud ed ▁that ▁the ▁re un ion ▁had ▁l as ted ▁long ▁en ough .
686
- ▁He ▁c aught ▁K ath ly n ▁ rough ly ▁by ▁the ▁should er ▁and ▁p ul led ▁her ▁aw ay .
687
- ▁" B e h old , ▁Col on el ▁S a h ib !
688
- ▁M ine !
689
- ▁I ▁b ough t ▁her ▁this ▁day ▁in ▁the ▁s la ve ▁m art .
690
- ▁L eg ally ▁m ine !
691
- ▁N ow ▁will ▁y ou ▁t ell ▁me ▁where ▁that ▁s il ver ▁bas k et ▁lies ▁h id den , ▁with ▁its ▁g old ▁and ▁g ame ? "
692
- ▁" F a ther , ▁do ▁not ▁t ell ▁h im ! " ▁w arn ed ▁K ath ly n .
693
- ▁" S o ▁long ▁as ▁we ▁do ▁not ▁t ell ▁h im ▁he ▁do es ▁not ▁p ut ▁us ▁out ▁of ▁the ▁way ! "
694
- ▁" K it ! "
695
- ▁" D ad , ▁poor ▁d ad ! "
696
- ▁" L it t le ▁fo ol ! " ▁s aid ▁U m b al la .
697
- ▁K ath ly n ▁stru g g led ▁to ▁reach ▁her ▁f a ther ▁again , ▁but ▁could ▁not .
698
  ▁“ N ot ▁know ▁y ou ▁- ▁I , ▁who ▁am ▁old ▁and ▁who ▁have ▁stud ied ▁all ▁my ▁life ▁men ▁and ▁women ; ▁I , ▁who ▁have ▁made ▁my ▁special ty ▁the ▁brain ▁and ▁all ▁that ▁belong s ▁to ▁h im ▁and ▁all ▁that ▁follows ▁from ▁h im ! "
699
  ▁A nd ▁I ▁have ▁re ad ▁y our ▁di ary ▁that ▁y ou ▁have ▁so ▁g ood ly ▁w r it ten ▁for ▁me , ▁and ▁which ▁b re ath es ▁out ▁t r uth ▁in ▁every ▁line .
700
  ▁I , ▁who ▁have ▁re ad ▁y our ▁so ▁s we et ▁letter ▁to ▁poor ▁L u cy ▁of ▁y our ▁marriage ▁and ▁y our ▁t ru st , ▁not ▁know ▁y ou !
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ▁“ N ot ▁know ▁y ou ▁- ▁I , ▁who ▁am ▁old ▁and ▁who ▁have ▁stud ied ▁all ▁my ▁life ▁men ▁and ▁women ; ▁I , ▁who ▁have ▁made ▁my ▁special ty ▁the ▁brain ▁and ▁all ▁that ▁belong s ▁to ▁h im ▁and ▁all ▁that ▁follows ▁from ▁h im ! "
2
  ▁A nd ▁I ▁have ▁re ad ▁y our ▁di ary ▁that ▁y ou ▁have ▁so ▁g ood ly ▁w r it ten ▁for ▁me , ▁and ▁which ▁b re ath es ▁out ▁t r uth ▁in ▁every ▁line .
3
  ▁I , ▁who ▁have ▁re ad ▁y our ▁so ▁s we et ▁letter ▁to ▁poor ▁L u cy ▁of ▁y our ▁marriage ▁and ▁y our ▁t ru st , ▁not ▁know ▁y ou !
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1
  Namespace(aim_repo=None, aim_run_hash=None, align_suffix=None, alignfile=None, all_gather_list_size=16384, amp=False, amp_batch_retries=2, amp_init_scale=128, amp_scale_window=None, azureml_logging=False, bf16=False, bpe=None, cpu=False, criterion='cross_entropy', dataset_impl='mmap', destdir='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Old/preprocess_en-si/', dict_only=False, empty_cache_freq=0, fp16=False, fp16_init_scale=128, fp16_no_flatten_grads=False, fp16_scale_tolerance=0.0, fp16_scale_window=None, joined_dictionary=False, log_file=None, log_format=None, log_interval=100, lr_scheduler='fixed', memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, model_parallel_size=1, no_progress_bar=False, nwordssrc=-1, nwordstgt=-1, on_cpu_convert_precision=False, only_source=False, optimizer=None, padding_factor=8, plasma_path='/tmp/plasma', profile=False, quantization_config_path=None, reset_logging=False, scoring='bleu', seed=1, source_lang='en', srcdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.en.txt', suppress_crashes=False, target_lang='si', task='translation', tensorboard_logdir=None, testpref='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Old/encoded/test.bpe', tgtdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.si.txt', threshold_loss_scale=None, thresholdsrc=0, thresholdtgt=0, tokenizer=None, tpu=False, trainpref=None, use_plasma_view=False, user_dir=None, validpref=None, wandb_project=None, workers=16)
2
  [en] Dictionary: 7088 types
3
- [en] ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Old/encoded/test.bpe.en: 1000 sents, 31507 tokens, 47.5% replaced (by <unk>)
4
  [si] Dictionary: 7088 types
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- [si] ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Old/encoded/test.bpe.si: 1000 sents, 34392 tokens, 55.1% replaced (by <unk>)
6
  Wrote preprocessed data to ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Old/preprocess_en-si/
 
1
  Namespace(aim_repo=None, aim_run_hash=None, align_suffix=None, alignfile=None, all_gather_list_size=16384, amp=False, amp_batch_retries=2, amp_init_scale=128, amp_scale_window=None, azureml_logging=False, bf16=False, bpe=None, cpu=False, criterion='cross_entropy', dataset_impl='mmap', destdir='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Old/preprocess_en-si/', dict_only=False, empty_cache_freq=0, fp16=False, fp16_init_scale=128, fp16_no_flatten_grads=False, fp16_scale_tolerance=0.0, fp16_scale_window=None, joined_dictionary=False, log_file=None, log_format=None, log_interval=100, lr_scheduler='fixed', memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, model_parallel_size=1, no_progress_bar=False, nwordssrc=-1, nwordstgt=-1, on_cpu_convert_precision=False, only_source=False, optimizer=None, padding_factor=8, plasma_path='/tmp/plasma', profile=False, quantization_config_path=None, reset_logging=False, scoring='bleu', seed=1, source_lang='en', srcdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.en.txt', suppress_crashes=False, target_lang='si', task='translation', tensorboard_logdir=None, testpref='../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Old/encoded/test.bpe', tgtdict='../trained_models/Fairseq/Health/1k/en-si/preprocess_en-si/dict.si.txt', threshold_loss_scale=None, thresholdsrc=0, thresholdtgt=0, tokenizer=None, tpu=False, trainpref=None, use_plasma_view=False, user_dir=None, validpref=None, wandb_project=None, workers=16)
2
  [en] Dictionary: 7088 types
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+ [en] ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Old/encoded/test.bpe.en: 303 sents, 15574 tokens, 45.9% replaced (by <unk>)
4
  [si] Dictionary: 7088 types
5
+ [si] ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Old/encoded/test.bpe.si: 303 sents, 16988 tokens, 55.8% replaced (by <unk>)
6
  Wrote preprocessed data to ../trained_models/Fairseq/Health/1k/en-si/cross_domain_outputs/Literature-Old/preprocess_en-si/
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  Namespace(aim_repo=None, aim_run_hash=None, align_suffix=None, alignfile=None, all_gather_list_size=16384, amp=False, amp_batch_retries=2, amp_init_scale=128, amp_scale_window=None, azureml_logging=False, bf16=False, bpe=None, cpu=False, criterion='cross_entropy', dataset_impl='mmap', destdir='../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Children/preprocess_en-ta/', dict_only=False, empty_cache_freq=0, fp16=False, fp16_init_scale=128, fp16_no_flatten_grads=False, fp16_scale_tolerance=0.0, fp16_scale_window=None, joined_dictionary=False, log_file=None, log_format=None, log_interval=100, lr_scheduler='fixed', memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, model_parallel_size=1, no_progress_bar=False, nwordssrc=-1, nwordstgt=-1, on_cpu_convert_precision=False, only_source=False, optimizer=None, padding_factor=8, plasma_path='/tmp/plasma', profile=False, quantization_config_path=None, reset_logging=False, scoring='bleu', seed=1, source_lang='en', srcdict='../trained_models/Fairseq/Health/1k/en-ta/preprocess_en-ta/dict.en.txt', suppress_crashes=False, target_lang='ta', task='translation', tensorboard_logdir=None, testpref='../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Children/encoded/test.bpe', tgtdict='../trained_models/Fairseq/Health/1k/en-ta/preprocess_en-ta/dict.ta.txt', threshold_loss_scale=None, thresholdsrc=0, thresholdtgt=0, tokenizer=None, tpu=False, trainpref=None, use_plasma_view=False, user_dir=None, validpref=None, wandb_project=None, workers=16)
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  [en] Dictionary: 10256 types
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- [en] ../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Children/encoded/test.bpe.en: 864 sents, 34317 tokens, 40.9% replaced (by <unk>)
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  [ta] Dictionary: 10256 types
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- [ta] ../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Children/encoded/test.bpe.ta: 864 sents, 32936 tokens, 55.9% replaced (by <unk>)
6
  Wrote preprocessed data to ../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Children/preprocess_en-ta/
 
1
  Namespace(aim_repo=None, aim_run_hash=None, align_suffix=None, alignfile=None, all_gather_list_size=16384, amp=False, amp_batch_retries=2, amp_init_scale=128, amp_scale_window=None, azureml_logging=False, bf16=False, bpe=None, cpu=False, criterion='cross_entropy', dataset_impl='mmap', destdir='../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Children/preprocess_en-ta/', dict_only=False, empty_cache_freq=0, fp16=False, fp16_init_scale=128, fp16_no_flatten_grads=False, fp16_scale_tolerance=0.0, fp16_scale_window=None, joined_dictionary=False, log_file=None, log_format=None, log_interval=100, lr_scheduler='fixed', memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, model_parallel_size=1, no_progress_bar=False, nwordssrc=-1, nwordstgt=-1, on_cpu_convert_precision=False, only_source=False, optimizer=None, padding_factor=8, plasma_path='/tmp/plasma', profile=False, quantization_config_path=None, reset_logging=False, scoring='bleu', seed=1, source_lang='en', srcdict='../trained_models/Fairseq/Health/1k/en-ta/preprocess_en-ta/dict.en.txt', suppress_crashes=False, target_lang='ta', task='translation', tensorboard_logdir=None, testpref='../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Children/encoded/test.bpe', tgtdict='../trained_models/Fairseq/Health/1k/en-ta/preprocess_en-ta/dict.ta.txt', threshold_loss_scale=None, thresholdsrc=0, thresholdtgt=0, tokenizer=None, tpu=False, trainpref=None, use_plasma_view=False, user_dir=None, validpref=None, wandb_project=None, workers=16)
2
  [en] Dictionary: 10256 types
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+ [en] ../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Children/encoded/test.bpe.en: 54 sents, 1235 tokens, 40.8% replaced (by <unk>)
4
  [ta] Dictionary: 10256 types
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+ [ta] ../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Children/encoded/test.bpe.ta: 54 sents, 1288 tokens, 56.9% replaced (by <unk>)
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  Wrote preprocessed data to ../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Children/preprocess_en-ta/
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  Namespace(aim_repo=None, aim_run_hash=None, align_suffix=None, alignfile=None, all_gather_list_size=16384, amp=False, amp_batch_retries=2, amp_init_scale=128, amp_scale_window=None, azureml_logging=False, bf16=False, bpe=None, cpu=False, criterion='cross_entropy', dataset_impl='mmap', destdir='../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/preprocess_en-ta/', dict_only=False, empty_cache_freq=0, fp16=False, fp16_init_scale=128, fp16_no_flatten_grads=False, fp16_scale_tolerance=0.0, fp16_scale_window=None, joined_dictionary=False, log_file=None, log_format=None, log_interval=100, lr_scheduler='fixed', memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, model_parallel_size=1, no_progress_bar=False, nwordssrc=-1, nwordstgt=-1, on_cpu_convert_precision=False, only_source=False, optimizer=None, padding_factor=8, plasma_path='/tmp/plasma', profile=False, quantization_config_path=None, reset_logging=False, scoring='bleu', seed=1, source_lang='en', srcdict='../trained_models/Fairseq/Health/1k/en-ta/preprocess_en-ta/dict.en.txt', suppress_crashes=False, target_lang='ta', task='translation', tensorboard_logdir=None, testpref='../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe', tgtdict='../trained_models/Fairseq/Health/1k/en-ta/preprocess_en-ta/dict.ta.txt', threshold_loss_scale=None, thresholdsrc=0, thresholdtgt=0, tokenizer=None, tpu=False, trainpref=None, use_plasma_view=False, user_dir=None, validpref=None, wandb_project=None, workers=16)
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- [en] ../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe.en: 864 sents, 34317 tokens, 40.9% replaced (by <unk>)
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  [ta] Dictionary: 10256 types
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- [ta] ../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/encoded/test.bpe.ta: 864 sents, 32936 tokens, 55.9% replaced (by <unk>)
6
  Wrote preprocessed data to ../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/preprocess_en-ta/
 
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2
  [en] Dictionary: 10256 types
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  [ta] Dictionary: 10256 types
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6
  Wrote preprocessed data to ../trained_models/Fairseq/Health/1k/en-ta/cross_domain_outputs/Literature-Kathlyn/preprocess_en-ta/
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