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Fix: English tokens extraction error when word ends with "e" #9546

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Fix: English tokens extraction error when word ends with "e" #9546

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10 changes: 8 additions & 2 deletions rag/nlp/rag_tokenizer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -293,8 +293,14 @@ def maxBackward_(self, line):

return self.score_(res[::-1])

def _stem_and_lemmatize(self, input):
lemmatize = self.lemmatizer.lemmatize(input)
if lemmatize.endswith('e'):
return lemmatize
return self.stemmer.stem(lemmatize)

def english_normalize_(self, tks):
return [self.stemmer.stem(self.lemmatizer.lemmatize(t)) if re.match(r"[a-zA-Z_-]+$", t) else t for t in tks]
return [self._stem_and_lemmatize(t) if re.match(r"[a-zA-Z_-]+$", t) else t for t in tks]

def _split_by_lang(self, line):
txt_lang_pairs = []
Expand Down Expand Up @@ -328,7 +334,7 @@ def tokenize(self, line):
res = []
for L,lang in arr:
if not lang:
res.extend([self.stemmer.stem(self.lemmatizer.lemmatize(t)) for t in word_tokenize(L)])
res.extend([self._stem_and_lemmatize(t) for t in word_tokenize(L)])
continue
if len(L) < 2 or re.match(
r"[a-z\.-]+$", L) or re.match(r"[0-9\.-]+$", L):
Expand Down