151 citations · 538 across the 29 of their papers we have counts for
12 papers · 1 filter
Maknuune: A Large Open Palestinian Arabic Lexicon
Shahd Dibas, Christian Khairallah, Nizar Habash +4
We present Maknuune, a large open lexicon for the Palestinian Arabic dialect. Maknuune has over 36K entries from 17K lemmas, and 3.7K roots. All entries include diacritized Arabic…
Camelira: An Arabic Multi-Dialect Morphological Disambiguator
Ossama Obeid, Go Inoue, Nizar Habash
We present Camelira, a web-based Arabic multi-dialect morphological disambiguation tool that covers four major variants of Arabic: Modern Standard Arabic, Egyptian, Gulf, and Levan…
Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition
Injy Hamed, Amir Hussein, Oumnia Chellah +5
Code-switching poses a number of challenges and opportunities for multilingual automatic speech recognition. In this paper, we focus on the question of robust and fair evaluation m…
ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English
Injy Hamed, Nizar Habash, Slim Abdennadher +1
We present our work on collecting ArzEn-ST, a code-switched Egyptian Arabic - English Speech Translation Corpus. This corpus is an extension of the ArzEn speech corpus, which was c…
The Shared Task on Gender Rewriting
Bashar Alhafni, Nizar Habash, Houda Bouamor +11
In this paper, we present the results and findings of the Shared Task on Gender Rewriting, which was organized as part of the Seventh Arabic Natural Language Processing Workshop. T…
NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany +2
We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI 2022). NADI aims at advancing state of the art Arabic NLP, including on Arabic dialects. I…
Arabic Word-level Readability Visualization for Assisted Text Simplification
Reem Hazim, Hind Saddiki, Bashar Alhafni +2
This demo paper presents a Google Docs add-on for automatic Arabic word-level readability visualization. The add-on includes a lemmatization component that is connected to a five-l…
The User-Aware Arabic Gender Rewriter
Bashar Alhafni, Ossama Obeid, Nizar Habash
We introduce the User-Aware Arabic Gender Rewriter, a user-centric web-based system for Arabic gender rewriting in contexts involving two users. The system takes either Arabic or E…
Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text
Marwa Gaser, Manuel Mager, Injy Hamed +3
Data sparsity is one of the main challenges posed by code-switching (CS), which is further exacerbated in the case of morphologically rich languages. For the task of machine transl…
User-Centric Gender Rewriting
Bashar Alhafni, Nizar Habash, Houda Bouamor
In this paper, we define the task of gender rewriting in contexts involving two users (I and/or You) - first and second grammatical persons with independent grammatical gender pref…
Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation
Injy Hamed, Nizar Habash, Slim Abdennadher +1
Data sparsity is a main problem hindering the development of code-switching (CS) NLP systems. In this paper, we investigate data augmentation techniques for synthesizing dialectal…
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization
Moussa Kamal Eddine, Nadi Tomeh, Nizar Habash +2
Like most natural language understanding and generation tasks, state-of-the-art models for summarization are transformer-based sequence-to-sequence architectures that are pretraine…