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This PR closes #27781 # Problem The current implementation of `NLTKTextSplitter` is using `sent_tokenize`. However, this `sent_tokenize` doesn't handle chars between 2 tokenized sentences... hence, this behavior throws errors when we are using `add_start_index=True`, as described in issue #27781. In particular: ```python from nltk.tokenize import sent_tokenize output1 = sent_tokenize("Innovation drives our success. Collaboration fosters creative solutions. Efficiency enhances data management.", language="english") print(output1) output2 = sent_tokenize("Innovation drives our success. Collaboration fosters creative solutions. Efficiency enhances data management.", language="english") print(output2) >>> ['Innovation drives our success.', 'Collaboration fosters creative solutions.', 'Efficiency enhances data management.'] >>> ['Innovation drives our success.', 'Collaboration fosters creative solutions.', 'Efficiency enhances data management.'] ``` # Solution With this new `use_span_tokenize` parameter, we can use NLTK to create sentences (with `span_tokenize`), but also add extra chars to be sure that we still can map the chunks to the original text. --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Erick Friis <erickfriis@gmail.com> |
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| .. | ||
| xsl | ||
| __init__.py | ||
| base.py | ||
| character.py | ||
| html.py | ||
| json.py | ||
| konlpy.py | ||
| latex.py | ||
| markdown.py | ||
| nltk.py | ||
| py.typed | ||
| python.py | ||
| sentence_transformers.py | ||
| spacy.py | ||