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A pattern matching method for finding noun and proper noun translations from noisy parallel corpora

Fung, Pascale

We present a pattern matching method for compiling a bilingual lexicon of nouns and proper nouns from unaligned, noisy parallel texts of Asian/Indo-European language pairs. Tagging information of one language is used. Word frequency and position information for high and low frequency words are represented in two different vector forms for pattern matching. New anchor point finding and noise elimination techniques are introduced. We obtained a 73.1% precision. We also show how the results can be used in the compilation of domain-specific noun phrases.

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More About This Work

Academic Units
Computer Science
Publisher
Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics
Published Here
April 26, 2013
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