阿拉伯词语歧义消歧

2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2010-06-09 DOI:10.1109/SNPD.2010.32

L. Merhbene, A. Zouaghi, M. Zrigui

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引用次数: 22

摘要

本文提出了一种用于阿拉伯语单词消歧的无监督系统WSD-AL。我们对语料库中含有歧义词的文本进行预处理，提取出最相关的词。然后，我们使用上下文匹配算法，该算法返回语义连贯分数，对应于语义上最接近原始句子的使用上下文。这些上下文使用歧义词和语料库的注释生成。该系统的消歧率为78，结果令人满意。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Ambiguous Arabic Words Disambiguation

In this paper we put forward an unsupervised system WSD-AL for Arabic word disambiguation. We apply some pre-processing steps to texts containing the ambiguous word in the corpus and we extract the most relevant words. Then, we put to use the Context-Matching algorithm that returns a semantic coherence score corresponding to the context of use that is semantically closest to the original sentence. These Contexts are generated using the glosses of the ambiguous word and the corpus. The results found by the proposed ‎system are satisfactory, as the rate of disambiguation obtained ‎equals 78.

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来源期刊

2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

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