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Merged
pull merged 2 commits into from
Oct 21, 2025
Merged

[pull] main from m-bain:main #57

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db317c3
feat: add language-aware sentence tokenization (#1269)
pplkit Oct 21, 2025
d32ec3e
fix: add missing comma
Barabazs Oct 21, 2025
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8 changes: 5 additions & 3 deletions whisperx/alignment.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor

from whisperx.audio import SAMPLE_RATE, load_audio
from whisperx.utils import interpolate_nans
from whisperx.utils import interpolate_nans, PUNKT_LANGUAGES
from whisperx.schema import (
AlignedTranscriptionResult,
SingleSegment,
Expand Down Expand Up @@ -192,11 +192,13 @@ def align(
clean_wdx.append(wdx)


# Use language-specific Punkt model if available otherwise we fallback to English.
punkt_lang = PUNKT_LANGUAGES.get(model_lang, 'english')
try:
sentence_splitter = nltk_load('tokenizers/punkt/english.pickle')
sentence_splitter = nltk_load(f'tokenizers/punkt_tab/{punkt_lang}.pickle')
except LookupError:
nltk.download('punkt_tab', quiet=True)
sentence_splitter = nltk_load('tokenizers/punkt/english.pickle')
sentence_splitter = nltk_load(f'tokenizers/punkt_tab/{punkt_lang}.pickle')
sentence_spans = list(sentence_splitter.span_tokenize(text))

segment_data[sdx] = {
Expand Down
23 changes: 23 additions & 0 deletions whisperx/utils.py
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Expand Up @@ -126,6 +126,29 @@

LANGUAGES_WITHOUT_SPACES = ["ja", "zh"]

# Mapping of language codes to NLTK Punkt tokenizer model names
PUNKT_LANGUAGES = {
'cs': 'czech',
'da': 'danish',
'de': 'german',
'el': 'greek',
'en': 'english',
'es': 'spanish',
'et': 'estonian',
'fi': 'finnish',
'fr': 'french',
'it': 'italian',
'nl': 'dutch',
'no': 'norwegian',
'pl': 'polish',
'pt': 'portuguese',
'sl': 'slovene',
'sv': 'swedish',
'tr': 'turkish',
"ml": "malayalam",
"ru": "russian",
}

system_encoding = sys.getdefaultencoding()

if system_encoding != "utf-8":
Expand Down