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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/497

Title: Transliteration system using pair HMM with weighted FSTs
Authors: Nabende, Peter
Keywords: Machine transliteration
Pair hidden markov model
Weighted finite state transducers
Issue Date: 7-Aug-2009
Publisher: World Scientific Publishing Co Pte Ltd
Citation: Nabende, P. (2009). Transliteration system using pair HMM with weighted FSTs. In Proceedings of the 2009 named entities workshop: shared task on machine transliteration, ACL-IJCNLP, Singapore. Pages 100-103.
Abstract: This paper presents a transliteration system based on pair Hidden Markov Model (pair HMM) training and weighted Finite State Transducer (WFST)techniques. Parameters used by WFSTs for transliteration generation are learned from a pair HMM. Parameters from pair HMM training on English-Russian data sets are found to give better transliteration quality than parameters trained for WFSTs for corresponding structures. Training a pair HMM on English vowel bigrams and standard bigrams for Cyrillic Romanization and using a few transformation rules on generated Russian transliterations to test for context improves the system's transliteration quality.
URI: http://hdl.handle.net/123456789/497
ISBN: 978-1-932432-57-2
1-932432-57-4
Appears in Collections:Research Articles (CIT)

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