AU-DIS / LSTM_langid

Source code for the Apple reproduction

LSTM-LID

Source code for the paper A reproduction of Apple’s bi-directional LSTM models for language identification in short strings.

Installation

pip install LanguageIdentifier

Example

from 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.

Paper and bibtex

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",
}