Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine

no code implementations • COLING 2016 • Esk, Ramy er, Nizar Habash, Owen Rambow, Arfath Pasha

Arabic dialects present a special problem for natural language processing because there are few resources, they have no standard orthography, and have not been studied much.

Morphological Analysis

SPLIT: Smart Preprocessing (Quasi) Language Independent Tool

no code implementations • LREC 2016 • Mohamed Al-Badrashiny, Arfath Pasha, Mona Diab, Nizar Habash, Owen Rambow, Wael Salloum, Esk, Ramy er

Text preprocessing is an important and necessary task for all NLP applications.

MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic

no code implementations • LREC 2014 • Arfath Pasha, Mohamed Al-Badrashiny, Mona Diab, Ahmed El Kholy, Esk, Ramy er, Nizar Habash, Manoj Pooleery, Owen Rambow, Ryan Roth

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).

Chunking Lemmatization +5

DIRA: Dialectal Arabic Information Retrieval Assistant

no code implementations • IJCNLP 2013 • Arfath Pasha, Mohammad Al-Badrashiny, Mohamed Altantawy, Nizar Habash, Manoj Pooleery, Owen Rambow, Ryan M. Roth, Mona Diab

Information Retrieval Retrieval +1