The Bahrain Corpus: A Multi-genre Corpus of Bahraini Arabic

no code implementations • LREC 2022 • Dana Abdulrahim, Go Inoue, Latifa Shamsan, Salam Khalifa, Nizar Habash

Our objective is to create a specialized corpus of the Bahraini Arabic dialect, which includes written texts as well as transcripts of audio files, belonging to a different genre (folktales, comedy shows, plays, cooking shows, etc.).

Unified Guidelines and Resources for Arabic Dialect Orthography

no code implementations • LREC 2018 • Nizar Habash, Fadhl Eryani, Salam Khalifa, Owen Rambow, Dana Abdulrahim, Alex Erdmann, er, Reem Faraj, Wajdi Zaghouani, Houda Bouamor, Nasser Zalmout, Sara Hassan, Faisal Al-Shargi, Sakhar Alkhereyf, Basma Abdulkareem, Esk, Ramy er, Mohammad Salameh, Hind Saddiki

Speech Recognition Transliteration

The MADAR Arabic Dialect Corpus and Lexicon

no code implementations • LREC 2018 • Houda Bouamor, Nizar Habash, Mohammad Salameh, Wajdi Zaghouani, Owen Rambow, Dana Abdulrahim, Ossama Obeid, Salam Khalifa, Fadhl Eryani, Alex Erdmann, er, Kemal Oflazer

Transliteration

A Morphologically Annotated Corpus of Emirati Arabic

no code implementations • LREC 2018 • Salam Khalifa, Nizar Habash, Fadhl Eryani, Ossama Obeid, Dana Abdulrahim, Meera Al Kaabi

Lemmatization Machine Translation +2

A Large Scale Corpus of Gulf Arabic

no code implementations • LREC 2016 • Salam Khalifa, Nizar Habash, Dana Abdulrahim, Sara Hassan

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.

Annotating corpus data for a quantitative, constructional analysis of motion verbs in Modern Standard Arabic

no code implementations • WS 2014 • Dana Abdulrahim