27 lines
1.7 KiB
Markdown
27 lines
1.7 KiB
Markdown
# word-segmenters: fast English word segmentation in Rust
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[](https://github.com/InstantDomainSearch/word-segmenters/actions?query=workflow%3ACI)
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[](LICENSE-APACHE)
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word-segmenters is a fast Apache-2.0 library for English word segmentation.
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It is based on the Python [wordsegment][python] project written by Grant Jenkins,
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which is in turn based on code from Peter Norvig's chapter [Natural Language
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Corpus Data][chapter] from the book [Beautiful Data][book] (Segaran and Hammerbacher, 2009).
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The data files in this repository are derived from the [Google Web Trillion Word
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Corpus][corpus], as described by Thorsten Brants and Alex Franz, and [distributed][distributed] by the
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Linguistic Data Consortium. Note that this data **"may only be used for linguistic
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education and research"**, so for any other usage you should acquire a different data set.
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For the microbenchmark included in this repository, word-segmenters is ~5x faster than
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the Python implementation. Further optimizations are planned -- see the [issues][issues].
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The API has been carefully constructed so that multiple segmentations can share
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the underlying state (mainly the unigram and bigram maps) to allow parallel usage.
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[python]: https://github.com/grantjenks/python-wordsegment
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[chapter]: http://norvig.com/ngrams/
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[book]: http://oreilly.com/catalog/9780596157111/
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[corpus]: http://googleresearch.blogspot.com/2006/08/all-our-n-gram-are-belong-to-you.html
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[distributed]: https://catalog.ldc.upenn.edu/LDC2006T13
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[issues]: https://github.com/InstantDomainSearch/word-segmenters/issues
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