Machine transliteration survey

Authors:
Sarvnaz Karimi;Falk Scholer;Andrew Turpin
Affiliations:
NICTA and The University of Melbourne, Parkville, Australia;RMIT University, Melbourne, Australia;RMIT University, Melbourne, Australia
Venue:
ACM Computing Surveys (CSUR)
Year:
2011

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Abstract

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.