A tool to split text using a neural network. For sentence boundary detection, compound splitting and more.
npm install nnsplit
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A tool to split text using a neural network. The main application is sentence boundary detection, but e. g. compound splitting for German is also supported.
- __Robust__: Not reliant on proper punctuation, spelling and case. See the metrics.
- __Small__: NNSplit uses a byte-level LSTM, so weights are small (< 4MB) and models can be trained for every unicode encodable language.
- __Portable__: NNSplit is written in Rust with bindings for Rust, Python, and Javascript (Browser and Node.js). See how to get started in the usage section.
- __Fast__: Up to 2x faster than Spacy sentencization, see the benchmark.
- __Multilingual__: NNSplit currently has models for 9 different languages (German, English, French, Norwegian, Swedish, Simplified Chinese, Turkish, Russian and Ukrainian). Try them in the demo.
Documentation has moved to the NNSplit website: https://bminixhofer.github.io/nnsplit.
NNSplit is licensed under the MIT license.