Title
MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic.
Abstract
In this paper, we present MADAMIRA, a system for morphological analysis and disambiguation of Arabic that combines some of the best aspects of two previously commonly used systems for Arabic processing, MADA (Habash and Rambow, 2005; Habash et al., 2009; Habash et al., 2013) and AMIRA (Diab et al., 2007). MADAMIRA improves upon the two systems with a more streamlined Java implementation that is more robust, portable, extensible, and is faster than its ancestors by more than an order of magnitude. We also discuss an online demo (see http://nlp.ldeo.columbia.edu/madamira/) that highlights these aspects.
Year
Venue
Keywords
2014
LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Morphological Analysis,Morphological Tagging,Base Phrase Chunking,Named Entity Recognition
Field
DocType
Citations 
Arabic,Computer science,Speech recognition,Artificial intelligence,Natural language processing,Named-entity recognition,Morphological analysis
Conference
124
PageRank 
References 
Authors
4.19
9
9
Search Limit
100124
Name
Order
Citations
PageRank
Arfath Pasha11285.23
Mohamed Al-Badrashiny221613.98
Mona Diab31945136.84
Ahmed El Kholy41829.82
Ramy Eskander528418.18
Nizar Habash61833145.59
Manoj Pooleery71275.26
Owen Rambow82256247.69
Ryan Roth924612.76