Semantic-Based Segmentation of Arabic Texts

Abstract

In this study, we present an automatic technique to help segment the Arabic texts while preserving the semantics. The technique is based on empirical study on the sentences and clauses connectos. It has evolved from tedious analysis of various Arabic texts and from observation that have been noted over a long period of time. The analysis made it possible to realize the functionality of each connector in terms of separating standlone segments in the Arabic texts. This has lead to categorization of active and passive connectors to develop an algorithm that respects the semantic of the text to identify the segments of given Arabic texts. The algorithm has been implemented and experimented with Various Arabic essays were segmented using the algorithm and the results were compared to that of manual segmentations performed by linguistic experts.