Review of the ARPA speech understanding project
Readings in speech recognition
A new algorithm for the alignment of phonetic sequences
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Automatic English-Chinese name transliteration for development of multilingual resources
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Improving data driven wordclass tagging by system combination
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
An English to Korean transliteration model of extended Markov window
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
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
Identification of confusable drug names: a new approach and evaluation methodology
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Adaptive string similarity metrics for biomedical reference resolution
ISMB '05 Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics
Phoneme-Based transliteration of foreign names for OOV problem
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
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There are generally many ways to transliterate a name from one language script into another. The resulting ambiguity can make it very difficult to "untransliterate" a name by reverse engineering the process. In this paper, we present a highly successful cross-script name matching system that we developed by combining the creativity of human intuition with the power of machine learning. Our system determines whether a name in Roman script and a name in Chinese script match each other with an F-score of 96%. In addition, for name pairs that satisfy a computational test, the F-score is 98%.