阿英跨语言信息检索:一种机器翻译方法

Mohammed Aljlayl, O. Frieder, D. Grossman
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引用次数: 23

摘要

机器翻译(MT)是利用上下文信息将一种人类语言翻译成另一种语言的自动过程。我们使用TREC-7和TREC-9主题和集合,实证地评估了基于mt的方法在阿拉伯-英语跨语言信息检索(CLIR)系统(称为ALKAFI)中查询翻译的使用。为了探索成功的机器翻译处理实际需要多少上下文,还研究了查询长度对机器翻译性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Arabic-English cross-language information retrieval: a machine translation approach
Machine translation (MT) is an automatic process that translates from one human language to another by using context information. We empirically evaluate the use of an MT-based approach for query translation in an Arabic-English cross-language information retrieval (CLIR) system, called ALKAFI, using the TREC-7 and TREC-9 topics and collections. The effect of the query length on the MT performance is also investigated in order to explore how much context is actually required for successful MT processing.
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