Textual Similarity Measurement Approaches: A Survey (1)

Document Type : Original Article

Authors

1 Department of Computer science Faculty of Computers and Information Science Mansoura University Egypt

2 Department of Computer Science, Faculty of Computers and Information Science Damietta University Damietta, Egypt

3 Department of Computer Science Faculty of Computers and Information Science, Mansoura University, Egypt

Abstract

Survey research is appropriate and necessary to address certain research question types. This paper aims to provide a general overview of the textual similarity in the literature. Measuring textual similarity tends to have an increasingly important turn in related topics like text classification, recovery of specific information from data, clustering, topic retrieval, subject tracking, question answering, essay grading, summarization, and the nowadays trending Conversational Agents (CA), which is a program deals with humans through natural language conversation. Finding the similarity between terms is the essential portion of textual similarity, then used as a major phase for sentence-level, paragraph-level, and script-level similarities. In particular, we concern with textual similarity in Arabic. In the Arabic Language, applying Natural language Processing (NLP) tasks are very challenging indeed as it has many characteristics, which are considered as confrontations. However, many approaches for measuring textual similarity have been presented for Arabic text reviewed and compared in this paper.

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