Papers by Dana Abdulrahim

4 papers
The MADAR Arabic Dialect Corpus and Lexicon (L18-1)

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Challenge: Using a corpus of 25 Arabic city dialects and a lexicon of 1,045 concepts, we study 25 cities in a travel domain . focus on cities opens new avenues for research from dialectology to dialect identification and machine translation.
Approach: They present two Arabic language resources that are part of the Multi Arabic Dialect Applications and Resources project.
Outcome: The proposed resources are the first of their kind in terms of their coverage and fine granularity.
The Bahrain Corpus: A Multi-genre Corpus of Bahraini Arabic (2022.lrec-1)

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Challenge: Various corpora of various sizes and representing different genres, have been created for various Arabic dialects.
Approach: They propose to create a specialized corpus of Bahraini Arabic dialect, which includes written texts as well as transcripts of audio files.
Outcome: The proposed corpus includes 620K words representing the Bahraini Arabic dialect . the annotated corpus is available to support researchers interested in Arabic NLP .
Unified Guidelines and Resources for Arabic Dialect Orthography (L18-1)

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Challenge: Existing efforts to conventionalize the dialectal orthography of Arabic have focused on specific dialects and made ad hoc decisions.
Approach: They propose a set of guidelines and meta-guidelines for conventional orthography of Arabic dialects . they apply them to 28 Arab city dialects from Rabat to Muscat .
Outcome: The proposed guidelines and resources are being used by three large Arabic dialect processing projects in three universities.
A Morphologically Annotated Corpus of Emirati Arabic (L18-1)

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Challenge: Emirati Arabic corpus is first large-scale morphologically manually annotated corpus . resources for dialectal Arabic NLP tasks are still lacking compared to those for modern standard Arabic (MSA).
Approach: They propose to annotate a large-scale corpus of Emirati Arabic using a morphologically manually annotated corpus from eight Gumar novels . they discuss the guidelines for each part of the annotation components, and the annotation interface they use.
Outcome: The annotated corpus includes about 200,000 words from eight Gumar novels in the Emirati Arabic variety.

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