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README.md
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Word-frequency index for the Bashkir language, computed over **155.16 million scanned tokens** of monolingual text across diverse public domains. Non-Bashkir language admixture, borrowed vocabulary and scanning artifacts were filtered using automated language-filtering pipelines.
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## Configurations
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| Config | Rows | Cutoff | Use case |
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|---|---:|---:|---|
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| **`full`** | **874,448** | all retained forms | Comprehensive morphology studies, lexical research |
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Additionally provided in the repository:
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- [`top_coverage_50.json`](top_coverage_50.json): the minimal set of **1,137 word forms covering 50% of all tokens** in the corpus.
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- [`top_500.json`](top_500.json): top-500 core frequency vocabulary list.
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| `doc_freq` | int64 | Number of sentences containing the form |
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| `freq_per_million` | double | Normalized frequency per million indexed tokens |
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##
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| Rank | Word | Function / Translation | Count | FPM | Doc Frequency |
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|---:|---|---|---:|---:|---:|
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| 9 | **лә** | particle "also / and" | 521,084 | 3,782.0 | 435,357 |
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| 10 | **буйынса** | postposition/link "according to" | 462,733 | 3,358.5 | 409,618 |
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## Coverage
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| Tokens covered | Forms needed |
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|---:|---:|
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print(df.head(10))
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```
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## Related
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For word sequences and phrase-level statistics, use the companion [Bashkir
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Word N-gram Index](https://huggingface.co/datasets/failed09/bashkir-ngram-index),
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production, linguistic analysis, spellchecking, or a user-facing application.
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Do not treat presence in the index as proof that a word is standard Bashkir.
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## Citation
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```bibtex
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Word-frequency index for the Bashkir language, computed over **155.16 million scanned tokens** of monolingual text across diverse public domains. Non-Bashkir language admixture, borrowed vocabulary and scanning artifacts were filtered using automated language-filtering pipelines.
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## Files and Configurations
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| Config | Rows | Cutoff | Use case |
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|---|---:|---:|---|
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| **`full`** | **874,448** | all retained forms | Comprehensive morphology studies, lexical research |
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Additionally provided in the repository:
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- [`top_coverage_50.json`](top_coverage_50.json): the minimal set of **1,137 word forms covering 50% of all tokens** in the corpus.
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- [`top_500.json`](top_500.json): top-500 core frequency vocabulary list.
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| `doc_freq` | int64 | Number of sentences containing the form |
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| `freq_per_million` | double | Normalized frequency per million indexed tokens |
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## Examples
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### Top 10 Words
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| Rank | Word | Function / Translation | Count | FPM | Doc Frequency |
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|---:|---|---|---:|---:|---:|
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| 9 | **лә** | particle "also / and" | 521,084 | 3,782.0 | 435,357 |
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| 10 | **буйынса** | postposition/link "according to" | 462,733 | 3,358.5 | 409,618 |
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### Coverage
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| Tokens covered | Forms needed |
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|---:|---:|
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print(df.head(10))
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```
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## Related Resources
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For word sequences and phrase-level statistics, use the companion [Bashkir
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Word N-gram Index](https://huggingface.co/datasets/failed09/bashkir-ngram-index),
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production, linguistic analysis, spellchecking, or a user-facing application.
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Do not treat presence in the index as proof that a word is standard Bashkir.
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## License
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Distributed under the [CC BY 4.0 license](https://creativecommons.org/licenses/by/4.0/).
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The release contains derived statistics, not the source texts. Upstream source
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licenses and attribution requirements still apply to the underlying materials.
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## Citation
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```bibtex
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SHA256SUMS
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a8f4759ebe0385bb1967e50a01f9a5bcdda86b7d35193876ce1b3b0dd881ea61 .gitattributes
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2135442ab1dbebfb283e5c3b78cc7ddfcd319bca9d810e462634b48a7383b68c META.json
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-
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c53ff9a696a5476aa5bb2b4ab6d67623511776c50fc98b1bb3c5c2ae457a2bef frequency_full.parquet
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0900429ca2f1f56bd080b89884f94e773f19dc0c1c38a5fc7e9492783036c70f frequency_public.parquet
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f01c50a203cf14d92a0d13ceaea68eae03276c4135bf71dbeb4116c23579283d top_500.json
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a8f4759ebe0385bb1967e50a01f9a5bcdda86b7d35193876ce1b3b0dd881ea61 .gitattributes
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2135442ab1dbebfb283e5c3b78cc7ddfcd319bca9d810e462634b48a7383b68c META.json
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19798d6f5a21deabe1ae5725949967599eec969b3b2e6bc81e41e7582f7dd85b README.md
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c53ff9a696a5476aa5bb2b4ab6d67623511776c50fc98b1bb3c5c2ae457a2bef frequency_full.parquet
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0900429ca2f1f56bd080b89884f94e773f19dc0c1c38a5fc7e9492783036c70f frequency_public.parquet
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f01c50a203cf14d92a0d13ceaea68eae03276c4135bf71dbeb4116c23579283d top_500.json
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