Work

Clause-based Discourse Segmentation of Arabic Texts

Year: 2012

Type: conference-paper

Abstract: This paper describes a rule-based approach to segment Arabic texts into clauses.Our method relies on an extensive analysis of a large set of lexical cues as well as punctuation marks.Our analysis was carried out on two different corpus genres: news articles and elementary school textbooks.We propose a three steps segmentation algorithm: first by using only punctuation marks, then by relying only on lexical cues and finally by using both typology and lexical cues.The results were compared with manual segmentations elaborated by experts.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/26588rymf6s8

Authors: Iskandar Keskes, Farah Benamara, Lamia Hadrich Belguith

Institutions: Institut de Recherche en Informatique de Toulouse, Faculty of Economics and Management of Sfax

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2251811147

FWCI: 2.944

Cites: 14

Cited by: 17

Related to: 10