@inproceedings{benites-etal-2020-translit,
title = "{TRANSLIT}: A Large-scale Name Transliteration Resource",
author = {Benites, Fernando and
Duivesteijn, Gilbert Fran{\c{c}}ois and
von D{\"a}niken, Pius and
Cieliebak, Mark},
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.399",
pages = "3265--3271",
abstract = "Transliteration is the process of expressing a proper name from a source language in the characters of a target language (e.g. from Cyrillic to Latin characters). We present TRANSLIT, a large-scale corpus with approx. 1.6 million entries in more than 180 languages with about 3 million variations of person and geolocation names. The corpus is based on various public data sources, which have been transformed into a unified format to simplify their usage, plus a newly compiled dataset from Wikipedia. In addition, we apply several machine learning methods to establish baselines for automatically detecting transliterated names in various languages. Our best systems achieve an accuracy of 92{\%} on identification of transliterated pairs.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<abstract>Transliteration is the process of expressing a proper name from a source language in the characters of a target language (e.g. from Cyrillic to Latin characters). We present TRANSLIT, a large-scale corpus with approx. 1.6 million entries in more than 180 languages with about 3 million variations of person and geolocation names. The corpus is based on various public data sources, which have been transformed into a unified format to simplify their usage, plus a newly compiled dataset from Wikipedia. In addition, we apply several machine learning methods to establish baselines for automatically detecting transliterated names in various languages. Our best systems achieve an accuracy of 92% on identification of transliterated pairs.</abstract>
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%0 Conference Proceedings
%T TRANSLIT: A Large-scale Name Transliteration Resource
%A Benites, Fernando
%A Duivesteijn, Gilbert François
%A von Däniken, Pius
%A Cieliebak, Mark
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F benites-etal-2020-translit
%X Transliteration is the process of expressing a proper name from a source language in the characters of a target language (e.g. from Cyrillic to Latin characters). We present TRANSLIT, a large-scale corpus with approx. 1.6 million entries in more than 180 languages with about 3 million variations of person and geolocation names. The corpus is based on various public data sources, which have been transformed into a unified format to simplify their usage, plus a newly compiled dataset from Wikipedia. In addition, we apply several machine learning methods to establish baselines for automatically detecting transliterated names in various languages. Our best systems achieve an accuracy of 92% on identification of transliterated pairs.
%U https://aclanthology.org/2020.lrec-1.399
%P 3265-3271
Markdown (Informal)
[TRANSLIT: A Large-scale Name Transliteration Resource](https://aclanthology.org/2020.lrec-1.399) (Benites et al., LREC 2020)
ACL
- Fernando Benites, Gilbert François Duivesteijn, Pius von Däniken, and Mark Cieliebak. 2020. TRANSLIT: A Large-scale Name Transliteration Resource. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3265–3271, Marseille, France. European Language Resources Association.