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Eighteen contributions explore current developments in the research of corpus-based natural language processing (a field in computational linguistics that uses large blocks of words to solve problems such as part-of-speech tagging, word sense disambiguation, parsing, machine translation, information retrieval, and discourse analysis). Authors examine such topics as example-based sense tagging of running Chinese text, statistical augmentation of a Chinese machine-readable dictionary, iterative alignment of syntactic structures for a bilingual corpus, and comparing the retrieval performances of English and Japanese text databases. Annotation c. Book News, Inc., Portland, OR
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