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Permanent link (DOI): https://doi.org/10.7939/R3D795K1K

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Theses and Dissertations

Transliteration Generation from the Orthographic and Phonetic Data Open Access

Descriptions

Other title
Subject/Keyword
NLP
Machine Transliteration
Joint Learning
Interlingua
Transliteration
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Yao, Lei
Supervisor and department
Grzegorz Kondrak (Computing Science)
Examining committee member and department
Anne-Michelle Tessier(Linguistics)
Csaba Szepesvari(Computing Science)
Grzegorz Kondrak(Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2014-09-18T13:15:21Z
Graduation date
2014-11
Degree
Master of Science
Degree level
Master's
Abstract
Machine transliteration is important to machine translation and cross-lingual information retrieval. Previous works show that machine transliteration can benefit from supplemental phonetic transcriptions and transliterations from other languages through a re-ranking framework. In this thesis, I propose to leverage supplemental information by jointly considering it with the spelling of the source word during the transliteration generation process. This approach is shown to be more accurate and faster than the re-ranking approach. In addition, I propose to represent supplemental transliterations through a common phonetic interlingua. Experiments suggest that the interlingua representations can be as effective as the original orthography, and can even be obtained from languages that are not available during training.
Language
English
DOI
doi:10.7939/R3D795K1K
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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