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Sentence splitting

Sentence splitting is the process of identifying sentence boundaries and dividing text into individual sentence units.

How 2 Manning books explain it

Generative AI in Action

Sentence splitting, also called sentence segmentation, identifies sentence boundaries to divide text into sentence-level units.

How it is used
Supports RAG chunking by preserving sentence boundaries, context, and meaning during text decomposition.
How deep it goes
Explains boundary detection, tokenizer choices, generators, token limits, overlap, and performance trade-offs without deriving NLP internals.
Examples
Demonstrates NLTK and spaCy implementations, generator-based processing, token-bounded overlap, and comparative embedding and execution results.
What you can do after
Apply it via NLTK or spaCy to create sentence-preserving RAG chunks and compare quality, resource use, and processing speed.

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Natural Language Processing in Action, Second Edition

Sentence segmentation is the process of dividing text into individual sentence units and identifying their boundaries.

How it is used
Starts information extraction by isolating facts and supports dialogue selection and longer-text chatbot training.
How deep it goes
Explains boundary ambiguity, contrasts regex and statistical methods, and notes manual correction without detailing a complete segmenter.
Examples
Uses quoted dialogue, nested quotations, technical notation, and manually corrected extracted text as boundary examples.
What you can do after
Apply it via regular expressions or statistical models to find sentence boundaries while recognizing punctuation-driven errors.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.