Developing a Competitive HMM Arabic POS Tagger Using Small Training Corpora-Reference-Cited by-同舟云学术

Developing a Competitive HMM Arabic POS Tagger Using Small Training Corpora

Published:2011 Issue: Volume: Page:288-296
ISSN:0302-9743
Container-title:Intelligent Information and Database Systems
language:
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Author:

Albared Mohammed,Omar Nazlia,Ab Aziz Mohd. Juzaiddin

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-20039-7_29

Reference28 articles.

1. Farghaly, A., Shaalan, K.: Arabic Natural Language Processing: Challenges and Solutions. ACM Transactions on Asian Language Information Processing (TALIP), 1–22 (2009), doi:http://doi.acm.org/10.1145/1644879.1644881

2. Maamouri, M., Bies, A., Kulick, S.: Enhanced Annotation and Parsing of the Arabic Treebank. In: INFOS (2008)

3. Fischl, W.: Part of Speech Tagging - A solved problem? Center for Integrative Bioinformatics Vienna, CIBIV (2009) (Unpublished report)

4. Nakagawa, T.: Multilingual word segmentation and part-of-speech tagging: a machine learning approach incorporating diverse features. PhD Thesis, Nara Institute of Science and Technology, Japan (2006)

5. Ratnaparkhi, A.: A maximum entropy part of speech tagger. In: Brill, E., Church, K. (eds.) Conference on Empirical Methods in Natural Language Processing. University of Pennsylvania, Philadelphia (1996)

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