A hybrid Arabic POS tagging for simple and compound morphosyntactic tags-Reference-Cited by-同舟云学术

A hybrid Arabic POS tagging for simple and compound morphosyntactic tags

Published:2015-10-08 Issue:2 Volume:19 Page:289-302
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Ababou N.,Mazroui A.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Link

http://link.springer.com/content/pdf/10.1007/s10772-015-9302-8.pdf

Reference28 articles.

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2. Al-Taani, A. T., & Al-Rub, S. A. (2009). A rule-based approach for tagging non-vocalized Arabic words. International Arab Journal of Information Technology, 6(3), 320–328.

3. Altabba, M., Al-Zaraee, A., & Shukairy, M. A. (2010). An Arabic morphological analyzer and part-of-speech tagger. Thesis, Faculty of Informatics Engineering, Arab International University, Damascus.

4. Antony, P. J., & Soman, K. P. (2011). Parts of speech tagging for Indian languages: A literature survey. International Journal of Computer Applications (0975-8887), 34(8), 22–29.

5. Atiyya, M., Choukri, K., & Yaseen, M. (2005, September 29). NEMLAR Arabic written corpus. Retrieved June 11, 2015, from http://www.rdi-eg.com/Downloads/Lang%20Tech/Nemlar-specifications-resources-WC-V3.0_Final.doc .

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