Source code for the paper A reproduction of Apple’s bi-directional LSTM models for language identification in short strings.
pip install LanguageIdentifierfrom LanguageIdentifier import predict
from LanguageIdentifier import rank
print(predict("Det her er dansk"))
print(rank("This is english")) predict outputs the most likely language of the sentence. rank returns a list of tuples containing their respective probabilities.
The ACL Anthology is the official location for the paper: A reproduction of Apple’s bi-directional LSTM models for language identification in short strings.
If you use the library of paper in your work, please cite:
@inproceedings{toftrup-etal-2021-reproduction,
title = "A reproduction of Apple{'}s bi-directional {LSTM} models for language identification in short strings",
author = "Toftrup, Mads and
Asger S{\o}rensen, S{\o}ren and
Ciosici, Manuel R. and
Assent, Ira",
booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop",
month = apr,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2021.eacl-srw.6",
pages = "36--42",
}
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent