Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

SpikeX - SpaCy Pipes for Knowledge Extraction

State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.

Text to sentence splitter using heuristic algorithm by Philipp Koehn and Josh Schroeder.

A sentence splitting (sentence boundary disambiguation) library for Go. It is rule-based and works out-of-the-box.

the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly

A flexible sentence segmentation library using CRF model and regex rules

Yasbd: A high-accuracy, rule-based Sentence Boundary Detector (SBD) with a drop-in adapter for pysbd, delivering faster and more accurate sentence segmentation.

High-Performance Finite State Tokenizer

Several benchmarks on sentence splitting and language identification

Smallish library for sentence splitting in Julia

A sentence chunker PHP class + visualizer for Berkeley Parser parse trees

Sentence split, Text classfication, performanc analysis for NLP

🪓 simple app to pit two sentence splitters against one another to understand their differences

A Luganda unsupervised model, used to tokenize sentences.

split text into sentences (a Perl module)

A CLI for Rust SRX sentence segmenation rules as Python package.