Morph-syntactic tagging system based on the patterns words for Arabic texts

Joint Authors

al-Jihad, Abd al-Hamid
Yusufi, Abd Allah
Si-Lhoussain, Aouragh

Source

The International Arab Journal of Information Technology

Issue

Vol. 8, Issue 4 (31 Oct. 2011), pp.350-354, 5 p.

Publisher

Zarqa University

Publication Date

2011-10-31

Country of Publication

Jordan

No. of Pages

5

Main Topic

Information Technology and Computer Science

Topics

Abstract EN

Text tagging is a very important tool for various applications in natural language processing, namely the morphological and syntactic analysis of texts, indexation and information retrieval, "vocalization" of Arabic texts, and probabilistic language model (n-class model).

However, these systems based on the lexemes of limited size, are unable to treat unknown words consequently.

To overcome this problem, we developed in this paper, a new system based on the patterns of unknown words and the hidden Markov model.

The experiments are carried out in the set of labeled texts, the set of 3800 patterns, and the 52 tags of morph-syntactic nature, to estimate the parameters of the new model HMM.

American Psychological Association (APA)

al-Jihad, Abd al-Hamid& Yusufi, Abd Allah& Si-Lhoussain, Aouragh. 2011. Morph-syntactic tagging system based on the patterns words for Arabic texts. The International Arab Journal of Information Technology،Vol. 8, no. 4, pp.350-354.
https://search.emarefa.net/detail/BIM-266750

Modern Language Association (MLA)

al-Jihad, Abd al-Hamid…[et al.]. Morph-syntactic tagging system based on the patterns words for Arabic texts. The International Arab Journal of Information Technology Vol. 8, no. 4 (Oct. 2011), pp.350-354.
https://search.emarefa.net/detail/BIM-266750

American Medical Association (AMA)

al-Jihad, Abd al-Hamid& Yusufi, Abd Allah& Si-Lhoussain, Aouragh. Morph-syntactic tagging system based on the patterns words for Arabic texts. The International Arab Journal of Information Technology. 2011. Vol. 8, no. 4, pp.350-354.
https://search.emarefa.net/detail/BIM-266750

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 353-354

Record ID

BIM-266750