IEEE Transactions on Pattern Analysis and Machine Intelligence
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
A systematic comparison of various statistical alignment models
Computational Linguistics
Computational Linguistics
Accessor variety criteria for Chinese word extraction
Computational Linguistics
Transliteration of proper names in cross-lingual information retrieval
MultiNER '03 Proceedings of the ACL 2003 workshop on Multilingual and mixed-language named entity recognition - Volume 15
An ensemble of transliteration models for information retrieval
Information Processing and Management: an International Journal
A joint source-channel model for machine transliteration
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Report of NEWS 2009 machine transliteration shared task
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
Substring-based transliteration with conditional random fields
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
Practical very large scale CRFs
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Report of NEWS 2012 machine transliteration shared task
NEWS '12 Proceedings of the 4th Named Entity Workshop
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This work presents an English-to-Chinese (E2C) machine transliteration system based on two-stage conditional random fields (CRF) models with accessor variety (AV) as an additional feature to approximate local context of the source language. Experiment results show that two-stage CRF method outperforms the one-stage opponent since the former costs less to encode more features and finer grained labels than the latter.