Abstract
Patent MT is emerging as a killer application domain for MT, as there is a strong need for fast and cheap translations for patent documents. Most of the Korean-English MT engines hitherto have suffered from the poor syntactic analysis performance and the lack of linguistic resources. We customized a Korean syntactic parser based on the linguistic characteristics of the patent documents, especially focusing on minimizing the noise in acquiring the co-occurrence data for Korean syntactic parsing. We will show that the improvement of the quality of co-occurrence data and other customization processes can lead to the im prove ment of the parsing accuracy and thus the improvement of the translation quality.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kim, CH., Hong, M. (2006). A Korean Syntactic Parser Customized for Korean-English Patent MT System. In: Salakoski, T., Ginter, F., Pyysalo, S., Pahikkala, T. (eds) Advances in Natural Language Processing. FinTAL 2006. Lecture Notes in Computer Science(), vol 4139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816508_7
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DOI: https://doi.org/10.1007/11816508_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37334-6
Online ISBN: 978-3-540-37336-0
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