| 基于多层次句子相似度与向量空间模型的词义消歧 |
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| 引用本文： | 朱姝,张政.基于多层次句子相似度与向量空间模型的词义消歧[J].北京工商大学学报(自然科学版),2009,27(2). |
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| 作者姓名： | 朱姝 张政 |
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| 作者单位： | 1. 北京工商大学,计算机与信息工程学院,北京,100048
2. 北京工商大学,外国语学院,北京,100048 |
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| 摘 要： | 介绍和对比了20世纪50年代以来出现的各种主要词义消歧的方法,论述了这些方法取得的成效和存在的局限,着重讨论了基于向量空间模型的消歧方法.在此基础上,通过分析和计算,提出了一种将多层次句子相似度计算应用于向量空间模型的新方法,从而提高机器翻译中的词义消歧的准确度.
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| 关 键 词： | 词义消岐 机器翻译 多层次句子相似度 向量空间模型 句子相似度 |
AN APPROACH TO WORD SENSE DISAMBIGUATION BASED ON MULTI-LEVEL SENTENCE SIMILARITYAND VECTOR SPACE MODEL |
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| ZHU Shu,ZHANG Zheng.AN APPROACH TO WORD SENSE DISAMBIGUATION BASED ON MULTI-LEVEL SENTENCE SIMILARITYAND VECTOR SPACE MODEL[J].Journal of Beijing Technology and Business University:Natural Science Edition,2009,27(2). |
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| Authors: | ZHU Shu ZHANG Zheng |
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| Institution: | 1.School of Computer and Information Engineering;Beijing Technology and Business University;Beijing 100048;China;2.School of Foreign Languages;China |
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| Abstract: | This paper introduces and contrasts the main approaches of word sense disambiguation(WSD) prevailing in the world,and analyzes their advantages and disadvantages.The paper focuses on the vector space model,and further more,puts forward a method based on the Multi-level Sentence Similarity(MSS) to improve the original method and overcome its shortages. |
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| Keywords: | word sense disambiguation machine translation multi-level sentence similarity vector space model sentence similarity |
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