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Sentence Boundary Detection in Colloquial Arabic Text: A Preliminary Result

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3 Author(s)
Al-Subaihin, A.A. ; Coll. of Comput. & Inf. Sci., King Saud Univ., Riyadh, Saudi Arabia ; Al-Khalifa, H.S. ; Al-Salman, A.-M.S.

Recently, natural language processing tasks are more frequently conducted over online content. This poses a special problem for applications over Arabic language. Online Arabic content is usually written in informal colloquial Arabic, which is characterized to be ill-structured and lacks specific linguistic standardization. In this paper, we investigate a preliminary step to conduct successful NLP processing which is the problem of sentence boundary detection. As informal Arabic lacks basic linguistic rules, we establish a list of commonly used punctuation marks after extensively studying a large amount of informal Arabic text. Moreover, we evaluated the correct usage of these punctuation marks as sentence delimiters; the result yielded a preliminary accuracy of 70%.

Published in:

Asian Language Processing (IALP), 2011 International Conference on

Date of Conference:

15-17 Nov. 2011