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ACL
2000
14 years 4 days ago
A Morphologically Sensitive Clustering Algorithm for Identifying Arabic Roots
We present a clustering algorithm for Arabic words sharing the same root. Root based clusters can substitute dictionaries in indexing for IR. Modifying Adamson and Boreham (1974),...
Anne N. De Roeck, Waleed Al-Fares
ACL
2010
13 years 8 months ago
Arabic Named Entity Recognition: Using Features Extracted from Noisy Data
Building an accurate Named Entity Recognition (NER) system for languages with complex morphology is a challenging task. In this paper, we present research that explores the featur...
Yassine Benajiba, Imed Zitouni, Mona T. Diab, Paol...
NAACL
2010
13 years 8 months ago
Is Arabic Part of Speech Tagging Feasible Without Word Segmentation?
In this paper, we compare two novel methods for part of speech tagging of Arabic without the use of gold standard word segmentation but with the full POS tagset of the Penn Arabic...
Emad Mohamed, Sandra Kübler
ACL
2012
12 years 1 months ago
Arabic Retrieval Revisited: Morphological Hole Filling
Due to Arabic’s morphological complexity, Arabic retrieval benefits greatly from morphological analysis – particularly stemming. However, the best known stemming does not hand...
Kareem Darwish, Ahmed Ali
LREC
2010
211views Education» more  LREC 2010»
14 years 7 days ago
An Automatically Built Named Entity Lexicon for Arabic
We have successfully adapted and extended the automatic Multilingual, Interoperable Named Entity Lexicon approach to Arabic, using Arabic WordNet (AWN) and Arabic Wikipedia (AWK)....
Mohammed Attia, Antonio Toral, Lamia Tounsi, Monic...