Natural Language Engineering
نویسندگان
چکیده
Most statistical machine translation systems typically rely on word alignments to extract translation rules. This approach would suffer from a practical problem that even one spurious word alignment link can prevent some desirable translation rules from being extracted. To address this issue, this paper presents two approaches, referred to as sub-tree alignment and phrase-based forced decoding methods, to automatically learn translation span alignments from parallel data. Then, we improve the translation rule extraction by deleting spurious links and inserting new links based on bilingual translation span correspondences. Some comparison experiments are designed to demonstrate the effectiveness of the proposed approaches.
منابع مشابه
An approach to program understanding by natural language understanding
Published in Natural Language Engineering, Cambridge University Press, Vol. 5, Issue 1, pp.1-18, 1999 (Copyright Cambridge University Press, 1999) An Approach to Program Understanding by Natural Language Understanding Letha H. Etzkorn, Lisa L. Bowen, Carl G. Davis Computer Science Department The University of Alabama in Huntsville Huntsville, AL 35899 [email protected], [email protected], cda...
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تاریخ انتشار 2015