Hybrid approach for semantic similarity calculation between Tamil words

被引:2
|
作者
Karuppaiah D. [1 ]
Durai Raj Vincent P.M. [1 ]
机构
[1] Vellore Institute of Technology, Vellore, Tamilnadu
关键词
Indo WordNet; Knowledge-based similarity; Semantic similarity; Tamil words similarity;
D O I
10.1504/IJICA.2021.113609
中图分类号
学科分类号
摘要
Semantic similarity, sometimes referred as semantic relatedness, is one of the important concepts that help in various applications that involve natural language processing. In literature, there are plenty of similarity measures to compute the relationship among words in monolingual and cross-lingual documents. They help us in understanding text, finding plagiarism, information retrieval etc. They can be categorised based on the resources used into corpus-based and knowledge-based measures. These measures are plenty for the English language. For the Tamil language, there are hardly any works in calculating the similarity between words. In this paper, we proposed a similarity finding technique that exploits the knowledge from the resources like Tamil Indo WordNet, Tamil Wikitionary and Oxford Tamil Dictionary. We have used the definitions and example sentences of each word that are available through each of these resources for similarity calculation. The proposed approach is evaluated using human evaluated Miller Charles and Rubenstein Goodenough datasets. Copyright © 2021 Inderscience Enterprises Ltd.
引用
收藏
页码:13 / 23
页数:10
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