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cbc5e69 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | from itertools import groupby
import re
def clean_phoenix_2014(prediction):
# TODO (Cihan): Python version of the evaluation script provided
# by the phoenix2014 dataset (not phoenix2014t). This should work
# as intended but further tests are required to make sure it is
# consistent with the bash/sed based clean up script.
prediction = prediction.strip()
prediction = re.sub(r"loc-", "", prediction)
prediction = re.sub(r"cl-", "", prediction)
prediction = re.sub(r"qu-", "", prediction)
prediction = re.sub(r"poss-", "", prediction)
prediction = re.sub(r"lh-", "", prediction)
prediction = re.sub(r"S0NNE", "SONNE", prediction)
prediction = re.sub(r"HABEN2", "HABEN", prediction)
prediction = re.sub(r"__EMOTION__", "", prediction)
prediction = re.sub(r"__PU__", "", prediction)
prediction = re.sub(r"__LEFTHAND__", "", prediction)
prediction = re.sub(r"WIE AUSSEHEN", "WIE-AUSSEHEN", prediction)
prediction = re.sub(r"ZEIGEN ", "ZEIGEN-BILDSCHIRM ", prediction)
prediction = re.sub(r"ZEIGEN$", "ZEIGEN-BILDSCHIRM", prediction)
prediction = re.sub(r"^([A-Z]) ([A-Z][+ ])", r"\1+\2", prediction)
prediction = re.sub(r"[ +]([A-Z]) ([A-Z]) ", r" \1+\2 ", prediction)
prediction = re.sub(r"([ +][A-Z]) ([A-Z][ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +][A-Z]) ([A-Z][ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +][A-Z]) ([A-Z][ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +]SCH) ([A-Z][ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +]NN) ([A-Z][ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +][A-Z]) (NN[ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +][A-Z]) ([A-Z])$", r"\1+\2", prediction)
prediction = re.sub(r"([A-Z][A-Z])RAUM", r"\1", prediction)
prediction = re.sub(r"-PLUSPLUS", "", prediction)
prediction = re.sub(r" +", " ", prediction)
prediction = re.sub(r"(?<![\w-])(\b[A-Z]+(?![\w-])) \1(?![\w-])", r"\1", prediction)
prediction = re.sub(r"(?<![\w-])(\b[A-Z]+(?![\w-])) \1(?![\w-])", r"\1", prediction)
prediction = re.sub(r"(?<![\w-])(\b[A-Z]+(?![\w-])) \1(?![\w-])", r"\1", prediction)
prediction = re.sub(r"(?<![\w-])(\b[A-Z]+(?![\w-])) \1(?![\w-])", r"\1", prediction)
prediction = re.sub(r" +", " ", prediction)
assert not re.search("__LEFTHAND__", prediction)
assert not re.search("__EPENTHESIS__", prediction)
assert not re.search("__EMOTION__", prediction)
# Remove white spaces and repetitions
prediction = " ".join(
" ".join(i[0] for i in groupby(prediction.split(" "))).split()
)
prediction = prediction.strip()
return prediction
def clean_phoenix_2014_trans(prediction):
prediction = prediction.strip()
prediction = re.sub(r"__LEFTHAND__", "", prediction)
prediction = re.sub(r"__EPENTHESIS__", "", prediction)
prediction = re.sub(r"__EMOTION__", "", prediction)
prediction = re.sub(r"\b__[^_ ]*__\b", "", prediction)
prediction = re.sub(r"\bloc-([^ ]*)\b", r"\1", prediction)
prediction = re.sub(r"\bcl-([^ ]*)\b", r"\1", prediction)
prediction = re.sub(r"\b([^ ]*)-PLUSPLUS\b", r"\1", prediction)
prediction = re.sub(r"\b([A-Z][A-Z]*)RAUM\b", r"\1", prediction)
prediction = re.sub(r"WIE AUSSEHEN", "WIE-AUSSEHEN", prediction)
prediction = re.sub(r"^([A-Z]) ([A-Z][+ ])", r"\1+\2", prediction)
prediction = re.sub(r"[ +]([A-Z]) ([A-Z]) ", r" \1+\2 ", prediction)
prediction = re.sub(r"([ +][A-Z]) ([A-Z][ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +][A-Z]) ([A-Z][ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +][A-Z]) ([A-Z][ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +]SCH) ([A-Z][ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +]NN) ([A-Z][ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +][A-Z]) (NN[ +])", r"\1+\2", prediction)
prediction = re.sub(r"([ +][A-Z]) ([A-Z])$", r"\1+\2", prediction)
prediction = re.sub(r" +", " ", prediction)
prediction = re.sub(r"(?<![\w-])(\b[A-Z]+(?![\w-])) \1(?![\w-])", r"\1", prediction)
prediction = re.sub(r"(?<![\w-])(\b[A-Z]+(?![\w-])) \1(?![\w-])", r"\1", prediction)
prediction = re.sub(r"(?<![\w-])(\b[A-Z]+(?![\w-])) \1(?![\w-])", r"\1", prediction)
prediction = re.sub(r"(?<![\w-])(\b[A-Z]+(?![\w-])) \1(?![\w-])", r"\1", prediction)
prediction = re.sub(r" +", " ", prediction)
# Remove white spaces and repetitions
prediction = " ".join(
" ".join(i[0] for i in groupby(prediction.split(" "))).split()
)
prediction = prediction.strip()
return prediction
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