June 28, 2024, 9:22 a.m. | /u/markus_583

Machine Learning www.reddit.com

**Title:** Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation

**Paper:** [**https://arxiv.org/abs/2406.16678**](https://arxiv.org/abs/2406.16678)

**Code:** [https://github.com/segment-any-text/wtpsplit](https://github.com/segment-any-text/wtpsplit)

https://preview.redd.it/6frvmpc36a9d1.png?width=1849&format=png&auto=webp&s=08c9769384d63bfd3ad786b0259f1dd4a97d4bce

**Abstract:**

>Segmenting text into sentences plays an early and crucial role in many NLP systems. This is commonly achieved by using rule-based or statistical methods relying on lexical features such as punctuation. Although some recent works no longer exclusively rely on punctuation, we find that no prior method achieves all of (i) robustness to missing punctuation, (ii) effective adaptability to new …

abstract machinelearning robust segment segmentation text universal

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