Merge pull request #3617 from pipecat-ai/fix/cjk-sentence-splitting
Fix sentence splitting for CJK and other non-Latin languages
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@@ -89,6 +89,17 @@ SENTENCE_ENDING_PUNCTUATION: FrozenSet[str] = frozenset(
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}
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)
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# Latin punctuation that NLTK handles well — these need NLTK's disambiguation
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# because "." can appear in abbreviations, decimals, etc.
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_LATIN_SENTENCE_ENDING_PUNCTUATION: FrozenSet[str] = frozenset({".", "!", "?", ";", "…"})
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# Non-Latin sentence-ending punctuation that is always unambiguous and never needs
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# NLTK's disambiguation logic. Used as a fallback when NLTK doesn't support the
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# language (e.g., Japanese, Chinese, Korean, Hindi, Arabic).
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UNAMBIGUOUS_SENTENCE_ENDING_PUNCTUATION: FrozenSet[str] = (
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SENTENCE_ENDING_PUNCTUATION - _LATIN_SENTENCE_ENDING_PUNCTUATION
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)
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StartEndTags = Tuple[str, str]
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@@ -144,7 +155,17 @@ def match_endofsentence(text: str) -> int:
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# common for text to be single words, so we need to ensure
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# sentence-ending punctuation is present.
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if len(sentences) == 1 and first_sentence == text:
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return len(text) if text and text[-1] in SENTENCE_ENDING_PUNCTUATION else 0
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if text and text[-1] in SENTENCE_ENDING_PUNCTUATION:
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return len(text)
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# Fallback for languages not supported by NLTK (e.g., Japanese, Chinese,
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# Korean, Hindi, Arabic). NLTK returned the entire text as a single
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# sentence, and the last character is not sentence-ending punctuation
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# (it's a lookahead character). Scan for unambiguous non-Latin sentence-
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# ending punctuation that doesn't need NLTK's disambiguation.
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for i, ch in enumerate(text):
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if ch in UNAMBIGUOUS_SENTENCE_ENDING_PUNCTUATION:
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return i + 1
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return 0
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# If there are multiple sentences, the first one is complete by definition
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# (NLTK found a boundary, so there must be proper punctuation)
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