suggest-go / Suggest
Licence: mit
Top-k Approximate String Matching.
Stars: ✭ 50
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Suggest
Library for Top-k Approximate String Matching, autocomplete and spell checking.
The library was mostly inspired by
- http://www.chokkan.org/software/simstring/
- http://www.aaai.org/ocs/index.php/AAAI/AAAI10/paper/viewFile/1939/2234
- http://nlp.stanford.edu/IR-book/
- http://bazhenov.me/blog/2012/08/04/autocomplete.html
- http://www.aclweb.org/anthology/C10-1096
Docs
See the documentation with examples demo and API documentation.
Demo
Fuzzy string search in a dictionary
The demo shows an approximate string search in a vehicle dictionary with more than 2k model names.
You can also run it locally
$ make build
$ ./build/suggest eval -c pkg/suggest/testdata/config.json -d cars -s 0.5 -k 5
or by using Docker
$ make build-docker
$ docker run -p 8080:8080 -v $(pwd)/pkg/suggest/testdata:/data/testdata suggest /data/build/suggest service-run -c /data/testdata/config.json
Spellchecker
Spellchecker recognizes a misspelled word based on the context of the surrounding words. In order to run a spellchecker demo, please do the next
- Download an English language model built on Blog Authorship Corpus
- Extract downloaded language model and perform
$ make build
$ ./build/./spellchecker eval -c lm-folder/config.json
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