HeLI-OTS 1.2 with createmodels.java
Description
HeLI off-the-shelf language identifier with language models for 200 languages.
Usage:
java -jar HeLI.jar -r <infile> -w <outfile>
The program will read the <infile> and classify the language of each line as one of the 200 languages it knows
and writes the results, one ISO 639-3 code per line, into file <outfile>.
You can use the -c option to make the program print a confidence score for the identification after each language code.
Usage:
java -jar HeLI.jar -c -r <infile> -w <outfile>
You can give the list of comma-separated ISO 639-3 identifiers for relevant languages after -l option.
Usage:
java -jar HeLI.jar -r <infile> -w <outfile> -l fin,swe,eng
You can give the number of top-scored languages to print after the -t option. (overrides confidence)
Usage:
java -jar HeLI.jar -r <infile> -w <outfile> -l fin,swe,eng -t 2
If you omit both of the filenames, the program will read the standard input one line at a time and write the result to standard output.
It can identify c. 3000 sentences per second using one core on a 2021 laptop and around 3 gigabytes of memory.
If you use this program in producing scientific publications, please refer to:
@inproceedings{jauhiainen-etal-2017-evaluation,
title = "Evaluation of language identification methods using 285 languages",
author = "Jauhiainen, Tommi and
Lind{\'e}n, Krister and
Jauhiainen, Heidi",
booktitle = "Proceedings of the 21st Nordic Conference on Computational Linguistics",
month = may,
year = "2017",
address = "Gothenburg, Sweden",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/W17-0221",
pages = "183--191",
}
Producing and publishing this software has been partly supported by The Finnish Research Impact Foundation Tandem Industry Academia -funding in cooperation with Lingsoft.
Files
LanguageModels.zip
Files
(88.2 MB)
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Additional details
References
- Jauhiainen, Tommi et al. (2017). Evaluation of language identification methods using 285 languages. https://www.aclweb.org/anthology/W17-0221