A Revised Survey of Paraphrasing Generation Approaches and Tools for Arabic

Due to the technological advancement and progress in NLP and text editing tools, there is an increasing demand for the paraphrasing practice. This demand has motivated researchers because numerous NLP applications are associated with it, including information retrieval, query answering, essay authenticity, text summarization, etc. This paper is a survey of several computational approaches for paraphrasing generation since the task of generating or identifying semantic equivalence for different linguistic elements is an essential part of NLP. It surveys a revised account including the most recent approaches to paraphrase generation up to Universal Networking Language Systems. The research specifically examines paraphrasing generation for Arabic using transformational rules. This is achieved by testing a paraphrasing on-line tool for Arabic and attempting an analysis and evaluation of its paraphrasing practice. The free online selected tool is Paraphrase Tool.com which is used to paraphrase more than one hundred languages, including Arabic. The resulting output is evaluated using BLEU to determine the accuracy of the rendered paraphrase and its semantic equivalence to the original source text.