RMIT University
Browse

Machine Transliteration Survey

journal contribution
posted on 2024-11-01, 05:16 authored by Sarvnaz Karimi, Falk ScholerFalk Scholer, Andrew Turpin
Machine transliteration is the process of automatically transforming the script of a word from a source language to a target language, while preserving pronunciation. The development of algorithms specifically for machine transliteration began over a decade ago based on the phonetics of source and target languages, followed by approaches using statistical and language-specific methods. In this survey, we review the key methodologies introduced in the transliteration literature. The approaches are categorized based on the resources and algorithms used, and the effectiveness is compared.

History

Journal

ACM Computing Surveys

Volume

43

Number

17

Issue

3

Start page

1

End page

46

Total pages

46

Publisher

Association for Computing Machinery

Place published

United States

Language

English

Copyright

© 2011 ACM

Former Identifier

2006026352

Esploro creation date

2020-06-22

Fedora creation date

2011-10-07