NLTK is an open-source Python library for natural-language processing and text analytics. It provides interfaces to corpora and lexical resources, plus tools for classification, tokenization, stemming, tagging, parsing, and chunking. In retrieval-augmented generation, it can split documents at sentence boundaries while preserving linguistic context. section 7.7.5
Use NLTK when chunking requires linguistic boundaries:
- Install the package with conda or pip, then download the required NLTK data. section 7.7.5
- Call sent_tokenize() to split text into sentences using the pretrained, unsupervised PunktSentenceTokenizer. section 7.7.5
- Prefer a generator for very large inputs when reducing list-memory usage matters. section 7.7.5
Sentence chunking
def split_sentences_by_nltk(text): for sentence in nltk.sent_tokenize(text): yield sentence This approach avoids breaking text in the middle of sentences, but NLP-based chunking can require more computational resources and domain knowledge than simpler splitting methods. section 7.7.5
