Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20082
Publication type: Conference paper
Type of review: Peer review (publication)
Title: TRANSLIT : a large-scale name transliteration resource
Authors : Benites de Azevedo e Souza, Fernando
Duivesteijn, Gilbert François
von Däniken, Pius
Cieliebak, Mark
et. al : No
DOI : 10.21256/zhaw-20082
Proceedings: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)
Pages : 3258
Pages to: 3264
Conference details: 12th Language Resources and Evaluation Conference (LREC) 2020
Issue Date: May-2020
Publisher / Ed. Institution : European Language Resources Association
Language : English
Subjects : Transliteration; Natural language processing; Multi-lingual entities
Subject (DDC) : 005: Computer programming, programs and data
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.
URI: https://digitalcollection.zhaw.ch/handle/11475/20082
Fulltext version : Published version
License (according to publishing contract) : CC BY-NC 4.0: Attribution - Non commercial 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Published as part of the ZHAW project : Libra: A One-Tool Solution for MLD4 Compliance
Appears in Collections:Publikationen School of Engineering

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