The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Finding related pages in the World Wide Web
WWW '99 Proceedings of the eighth international conference on World Wide Web
Translation of web queries using anchor text mining
ACM Transactions on Asian Language Information Processing (TALIP)
Employing EM and Pool-Based Active Learning for Text Classification
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
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
An IR approach for translating new words from nonparallel, comparable texts
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Learning phonetic similarity for matching named entity translations and mining new translations
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic identification of word translations from unrelated English and German corpora
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
HLT-NAACL-PARALLEL '03 Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts: data driven machine translation and beyond - Volume 3
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
Translating–transliterating named entities for multilingual information access
Journal of the American Society for Information Science and Technology
Speech and Language Processing (2nd Edition)
Speech and Language Processing (2nd Edition)
A joint source-channel model for machine transliteration
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Constructing transliteration lexicons from web corpora
ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
Named entity transliteration with comparable corpora
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Learning transliteration lexicons from the web
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Mining key phrase translations from web corpora
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Active learning with statistical models
Journal of Artificial Intelligence Research
Named entity translation with web mining and transliteration
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
An active learning framework for content-based information retrieval
IEEE Transactions on Multimedia
Machine transliteration survey
ACM Computing Surveys (CSUR)
Learning regional transliteration variants
Information Processing and Management: an International Journal
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This article presents an adaptive learning framework for Phonetic Similarity Modeling (PSM) that supports the automatic construction of transliteration lexicons. The learning algorithm starts with minimum prior knowledge about machine transliteration and acquires knowledge iteratively from the Web. We study the unsupervised learning and the active learning strategies that minimize human supervision in terms of data labeling. The learning process refines the PSM and constructs a transliteration lexicon at the same time. We evaluate the proposed PSM and its learning algorithm through a series of systematic experiments, which show that the proposed framework is reliably effective on two independent databases. © 2008 Wiley Periodicals, Inc.