Machine transliteration survey-Reference-Cited by-同舟云学术

Machine transliteration survey

Published:2011-04 Issue:3 Volume:43 Page:1-46
ISSN:0360-0300
Container-title:ACM Computing Surveys
language:en
Short-container-title:ACM Comput. Surv.

Author:

Karimi Sarvnaz¹,Scholer Falk²,Turpin Andrew²

Affiliation:

1. NICTA and The University of Melbourne, Parkville, Australia

2. RMIT University, Melbourne, Australia

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.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/1922649.1922654

Reference139 articles.

1. Statistical transliteration for english-arabic cross language information retrieval

2. Al-Onaizan Y. Curin J. Jahr M. Knight K. Lafferty J. Melamed D. Och F. J. Purdy D. Smith N. and Yarowsky D. 1999. Statistical machine translation. Tech. rep. Johns Hopkins University. Al-Onaizan Y. Curin J. Jahr M. Knight K. Lafferty J. Melamed D. Och F. J. Purdy D. Smith N. and Yarowsky D. 1999. Statistical machine translation. Tech. rep. Johns Hopkins University.

3. Machine transliteration of names in Arabic text

4. Translating named entities using monolingual and bilingual resources

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving neural machine translation by integrating transliteration for low-resource English–Assamese language;Natural Language Processing;2024-05-27

2. Spoken Language Translation in Low‐Resource Language;Automatic Speech Recognition and Translation for Low Resource Languages;2024-03-29

3. A Romanization Method for the Bengali Language with Efficient Encoding Scheme;Lecture Notes in Networks and Systems;2024

4. Influence of Contextual Information on Bengali-English Forward and Backward Transliteration Using Binary Coding;2023 1st International Conference on Optimization Techniques for Learning (ICOTL);2023-12-07

5. A Study of Transliteration Approaches;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03