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Update README with new name

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# word-segmenters: fast English word segmentation in Rust
# instant-segment: fast English word segmentation in Rust
[![Build status](https://github.com/InstantDomainSearch/word-segmenters/workflows/CI/badge.svg)](https://github.com/InstantDomainSearch/word-segmenters/actions?query=workflow%3ACI)
[![Build status](https://github.com/InstantDomainSearch/instant-segment/workflows/CI/badge.svg)](https://github.com/InstantDomainSearch/instant-segment/actions?query=workflow%3ACI)
[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE-APACHE)
word-segmenters is a fast Apache-2.0 library for English word segmentation.
instant-segment is a fast Apache-2.0 library for English word segmentation.
It is based on the Python [wordsegment][python] project written by Grant Jenkins,
which is in turn based on code from Peter Norvig's chapter [Natural Language
Corpus Data][chapter] from the book [Beautiful Data][book] (Segaran and Hammerbacher, 2009).
@ -13,7 +13,7 @@ Corpus][corpus], as described by Thorsten Brants and Alex Franz, and [distribute
Linguistic Data Consortium. Note that this data **"may only be used for linguistic
education and research"**, so for any other usage you should acquire a different data set.
For the microbenchmark included in this repository, word-segmenters is ~17x faster than
For the microbenchmark included in this repository, instant-segment is ~17x faster than
the Python implementation. Further optimizations are planned -- see the [issues][issues].
The API has been carefully constructed so that multiple segmentations can share
the underlying state (mainly the unigram and bigram maps) to allow parallel usage.
@ -23,4 +23,4 @@ the underlying state (mainly the unigram and bigram maps) to allow parallel usag
[book]: http://oreilly.com/catalog/9780596157111/
[corpus]: http://googleresearch.blogspot.com/2006/08/all-our-n-gram-are-belong-to-you.html
[distributed]: https://catalog.ldc.upenn.edu/LDC2006T13
[issues]: https://github.com/InstantDomainSearch/word-segmenters/issues
[issues]: https://github.com/InstantDomainSearch/instant-segment/issues