Machine Learning
Boosting an Associative Classifier
IEEE Transactions on Knowledge and Data Engineering
Measuring similarity between transliterations against noise data
ACM Transactions on Asian Language Information Processing (TALIP)
Mining Synonymous Transliterations from the World Wide Web
ACM Transactions on Asian Language Information Processing (TALIP)
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 is no transliteration standard across all Chinese language regions, including China, Hong Kong, and Taiwan, and variations in Chinese transliteration have thus arisen in the process of transliterating foreign languages (English, for instance) into the Chinese language. In this paper, we compare several ensemble classifiers in confirming a pair, that is, a transliteration and another term, whether it is synonymous. We construct a new confirmation framework to confirm whether a pair of a Chinese transliteration and another Chinese term is synonymous. The presented framework is applied to extract synonymous transliteration pairs from a real-world Web corpus; this is valuable to build a new database of synonymous transliterations or support search engines so that they can return much more complete documents as Web search results to increase the usages in practice. Experiments show that our integrated confirmation framework is effective and robust in confirming and extracting pairs of Chinese transliteration following the collection of synonymous transliterations from the Web corpus.