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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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README.md |
🦜✂️ LangChain Text Splitters
Quick Install
pip install langchain-text-splitters
What is it?
LangChain Text Splitters contains utilities for splitting into chunks a wide variety of text documents.
For full documentation see the API reference and the Text Splitters module in the main docs.
📕 Releases & Versioning
langchain-text-splitters
is currently on version 0.0.x
.
Minor version increases will occur for:
- Breaking changes for any public interfaces NOT marked
beta
Patch version increases will occur for:
- Bug fixes
- New features
- Any changes to private interfaces
- Any changes to
beta
features
💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the Contributing Guide.