2023-11-14 18:37:37 +00:00
|
|
|
![Cover logo](./cover.svg)
|
2020-12-16 09:38:59 +00:00
|
|
|
|
2021-04-29 09:12:42 +00:00
|
|
|
# Instant Segment: fast English word segmentation in Rust
|
2020-06-17 20:11:06 +00:00
|
|
|
|
2020-12-16 09:44:56 +00:00
|
|
|
[![Documentation](https://docs.rs/instant-segment/badge.svg)](https://docs.rs/instant-segment/)
|
|
|
|
[![Crates.io](https://img.shields.io/crates/v/instant-segment.svg)](https://crates.io/crates/instant-segment)
|
2021-04-29 09:12:42 +00:00
|
|
|
[![PyPI](https://img.shields.io/pypi/v/instant-segment)](https://pypi.org/project/instant-segment/)
|
2021-08-31 12:10:13 +00:00
|
|
|
[![Build status](https://github.com/InstantDomain/instant-segment/workflows/CI/badge.svg)](https://github.com/InstantDomain/instant-segment/actions?query=workflow%3ACI)
|
2020-06-17 20:11:06 +00:00
|
|
|
[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE-APACHE)
|
|
|
|
|
2021-04-29 09:12:42 +00:00
|
|
|
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 Jenks,
|
2020-06-17 20:11:06 +00:00
|
|
|
which is in turn based on code from Peter Norvig's chapter [Natural Language
|
2021-04-29 09:12:42 +00:00
|
|
|
Corpus Data][chapter] from the book [Beautiful Data][book] (Segaran and
|
|
|
|
Hammerbacher, 2009).
|
2020-06-17 20:11:06 +00:00
|
|
|
|
2021-05-27 11:50:23 +00:00
|
|
|
For the microbenchmark included in this repository, Instant Segment is ~100x
|
2021-08-18 20:18:56 +00:00
|
|
|
faster than the Python implementation. The API was carefully constructed
|
2021-05-28 12:44:44 +00:00
|
|
|
so that multiple segmentations can share the underlying state to allow parallel
|
|
|
|
usage.
|
2021-04-29 09:12:42 +00:00
|
|
|
|
|
|
|
## How it works
|
|
|
|
|
|
|
|
Instant Segment works by segmenting a string into words by selecting the splits
|
|
|
|
with the highest probability given a corpus of words and their occurrences.
|
|
|
|
|
|
|
|
For instance, provided that `choose` and `spain` occur more frequently than
|
|
|
|
`chooses` and `pain`, and that the pair `choose spain` occurs more frequently
|
|
|
|
than `chooses pain`, Instant Segment can help identify the domain
|
|
|
|
`choosespain.com` as `ChooseSpain.com` which more likely matches user intent.
|
|
|
|
|
2021-08-18 20:23:38 +00:00
|
|
|
Read about [how we built and improved][story] Instant Segment for use in production
|
|
|
|
at [Instant Domain Search](https://instantdomainsearch.com/) to help our users
|
|
|
|
find relevant domains they can register.
|
2021-04-29 09:12:42 +00:00
|
|
|
|
|
|
|
## Using the library
|
|
|
|
|
|
|
|
### Python **(>= 3.9)**
|
|
|
|
|
|
|
|
```sh
|
|
|
|
pip install instant-segment
|
|
|
|
```
|
|
|
|
|
|
|
|
### Rust
|
|
|
|
|
|
|
|
```toml
|
|
|
|
[dependencies]
|
|
|
|
instant-segment = "0.8.1"
|
|
|
|
```
|
|
|
|
|
|
|
|
### Examples
|
|
|
|
|
|
|
|
The following examples expect `unigrams` and `bigrams` to exist. See the
|
|
|
|
examples ([Rust](./instant-segment/examples/contrived.rs),
|
|
|
|
[Python](./instant-segment-py/examples/contrived.py)) to see how to construct
|
|
|
|
these objects.
|
|
|
|
|
|
|
|
```python
|
|
|
|
import instant_segment
|
|
|
|
|
|
|
|
segmenter = instant_segment.Segmenter(unigrams, bigrams)
|
|
|
|
search = instant_segment.Search()
|
|
|
|
segmenter.segment("instantdomainsearch", search)
|
|
|
|
print([word for word in search])
|
|
|
|
|
|
|
|
--> ['instant', 'domain', 'search']
|
|
|
|
```
|
|
|
|
|
|
|
|
```rust
|
|
|
|
use instant_segment::{Search, Segmenter};
|
|
|
|
use std::collections::HashMap;
|
|
|
|
|
2023-10-03 18:12:20 +00:00
|
|
|
let segmenter = Segmenter::new(unigrams, bigrams);
|
2021-04-29 09:12:42 +00:00
|
|
|
let mut search = Search::default();
|
|
|
|
let words = segmenter
|
|
|
|
.segment("instantdomainsearch", &mut search)
|
|
|
|
.unwrap();
|
|
|
|
println!("{:?}", words.collect::<Vec<&str>>())
|
|
|
|
|
|
|
|
--> ["instant", "domain", "search"]
|
|
|
|
```
|
|
|
|
|
|
|
|
Check out the tests for more thorough examples:
|
|
|
|
[Rust](./instant-segment/src/test_cases.rs),
|
|
|
|
[Python](./instant-segment-py/test/test.py)
|
|
|
|
|
|
|
|
## Testing
|
|
|
|
|
|
|
|
To run the tests run the following:
|
|
|
|
|
|
|
|
```
|
|
|
|
cargo t -p instant-segment --all-features
|
|
|
|
```
|
|
|
|
|
|
|
|
You can also test the Python bindings with:
|
|
|
|
|
|
|
|
```
|
|
|
|
make test-python
|
|
|
|
```
|
2020-06-17 20:11:06 +00:00
|
|
|
|
|
|
|
[python]: https://github.com/grantjenks/python-wordsegment
|
|
|
|
[chapter]: http://norvig.com/ngrams/
|
2021-08-18 20:23:38 +00:00
|
|
|
[story]: https://instantdomainsearch.com/engineering/instant-word-segmentation-with-rust
|
2020-06-17 20:11:06 +00:00
|
|
|
[book]: http://oreilly.com/catalog/9780596157111/
|
|
|
|
[distributed]: https://catalog.ldc.upenn.edu/LDC2006T13
|
2021-08-31 12:10:13 +00:00
|
|
|
[issues]: https://github.com/InstantDomain/instant-segment/issues
|