Dana Abdulrahim


2018

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The MADAR Arabic Dialect Corpus and Lexicon
Houda Bouamor | Nizar Habash | Mohammad Salameh | Wajdi Zaghouani | Owen Rambow | Dana Abdulrahim | Ossama Obeid | Salam Khalifa | Fadhl Eryani | Alexander Erdmann | Kemal Oflazer
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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Unified Guidelines and Resources for Arabic Dialect Orthography
Nizar Habash | Fadhl Eryani | Salam Khalifa | Owen Rambow | Dana Abdulrahim | Alexander Erdmann | Reem Faraj | Wajdi Zaghouani | Houda Bouamor | Nasser Zalmout | Sara Hassan | Faisal Al-Shargi | Sakhar Alkhereyf | Basma Abdulkareem | Ramy Eskander | Mohammad Salameh | Hind Saddiki
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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A Morphologically Annotated Corpus of Emirati Arabic
Salam Khalifa | Nizar Habash | Fadhl Eryani | Ossama Obeid | Dana Abdulrahim | Meera Al Kaabi
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2016

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A Large Scale Corpus of Gulf Arabic
Salam Khalifa | Nizar Habash | Dana Abdulrahim | Sara Hassan
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Most Arabic natural language processing tools and resources are developed to serve Modern Standard Arabic (MSA), which is the official written language in the Arab World. Some Dialectal Arabic varieties, notably Egyptian Arabic, have received some attention lately and have a growing collection of resources that include annotated corpora and morphological analyzers and taggers. Gulf Arabic, however, lags behind in that respect. In this paper, we present the Gumar Corpus, a large-scale corpus of Gulf Arabic consisting of 110 million words from 1,200 forum novels. We annotate the corpus for sub-dialect information at the document level. We also present results of a preliminary study in the morphological annotation of Gulf Arabic which includes developing guidelines for a conventional orthography. The text of the corpus is publicly browsable through a web interface we developed for it.

2014

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Annotating corpus data for a quantitative, constructional analysis of motion verbs in Modern Standard Arabic
Dana Abdulrahim
Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing (ANLP)