Marwah Alian, Arafat Awajan, Arabic Semantic Similarity Approaches – Review, The 19th International Arab Conference on Information Technology (ACIT’ 2018).

Abstract

Semantic similarity between different texts is a challenging tas k. It measures the relation between texts, sentences and words to depict their degree of similarity or resemblance. Many of the Natural languages processing tasks and applications need measuring the text semantic similarity to achieve good results. Plagiarism detection, text entailment, text summarization, machine translation, and information extraction are among these applications. Therefore many Methods for measuring semantic similarity have been pr oposed for Arabic text which is reviewed and compared in this research.