文献类型：期刊文献

英文题名：A research and development on word sense disambiguation based on forward chaining

作者：Jia, Hailong[1]; Tang, Pei[2]

第一作者：贾海龙

通讯作者：Jia, Hailong

机构：[1] Xinxiang University, Center of Modern Education Technology, Xinxiang, China; [2] Xinxiang University, Department of Art Design, Xinxiang, China

第一机构：新乡学院

年份：2014

卷号：32

期号：6

起止页码：6291-6298

外文期刊名：Energy Education Science and Technology Part A: Energy Science and Research

收录：EI(收录号：20152500946171);Scopus(收录号：2-s2.0-84931281986)

语种：英文

外文关键词：Algorithms - Association rules - Computational linguistics - Computer aided language translation - Data mining - Expert systems - Inference engines - Knowledge based systems

摘要：One of the major issues in the process of machine translation is the problem of choosing the proper translation for a multi-sense word referred to as word sense disambiguation (WSD). In this paper, by looking at the WSD problem from a different viewpoint, we propose a system, which consists of two main parts. The first part includes a data mining algorithm, which runs offline and extracts some useful knowledge about the co-occurrences of the words. In this algorithm, each sentence is imagined as a transaction in Market Basket Data Analysis problem, and the words included in a sentence play the role of purchased items. The second part of the system is an expert system whose knowledge base consists of the set of association rules generated by the first part. Moreover, in order to deduce the correct senses of the words, we introduce an efficient algorithm based on forward chaining in order to be used in the inference engine of the proposed expert system. The encouraging performance of the system in terms of precision and recall as well as its efficiency will be analyzed and discussed through a set of experiments. ? Sila Science. All Rights Reserved.