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机构地区:[1]School of Computer Science and Technology,Harbin Institute of Technology
出 处:《Journal of Harbin Institute of Technology(New Series)》2009年第5期708-712,共5页哈尔滨工业大学学报(英文版)
基 金:Sponsored by the High Technology Research and Development Program of China (Grant No.2002AA117010-09);the National Natural Science Foun-dation of China (Grant No. 60375019)
摘 要:For improving the translation quality of transfer-based MT system,a new metric for rule evaluation was proposed and applied to rule-base optimization.At the same time,a frequency filter was used to delete redundance before new acquired rules were added into rule-base.The new optimization method was applied to a general MT system.Experimental results show that the frequency filter is helpful to provide the knowledge expansion space of MT system for new acquired rules.The translation assessment score of open test corpus (including 2500 Chinese sentences) obtained is increased by 3.58% under 5-gram Nist metric,which is two times of that obtained by previous methods.For improving the translation quality of transfer-based MT system, a new metric for rule evaluation was proposed and applied to rule-base optimization. At the same time, a frequency filter was used to delete redundance before new acquired rules were added into rule-base. The new optimization method was applied to a general MT system. Experimental results show that the frequency filter is helpful to provide the knowledge expansion space of MT system for new acquired rules. The translation assessment score of open test corpus ( including 2500 Chinese sentences) obtained is increased by 3.58% under 5-gram Nist metric, which is two times of that obtained by previous methods.
关 键 词:rule-base optimization transfer-based MT assessment score
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