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A Statistical Model-Based Approach to NE Translation

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1 Author(s)
Yu Wang ; Center of Intell. Sci. & Technol., Beijing Univ. of Posts & Telecommun., Beijing

Named Entities (NE) is widely used in various research areas such as machine translation, cross-language information retrieval, bilingual question answering, bilingual lexicon construction and so on. Although in recent years scientists have done great efforts to identify and translate NE, aligning named entities in bilingual documents is still a complex problem. In this paper, we propose a method to align bilingual named entities in parallel corpora. The results show that the proposed methodology has got good performance, and it can be applicable to a wide range of natural language processing.

Published in:

Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on

Date of Conference:

23-25 Jan. 2009