CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing

1 code implementation • LREC 2020 • Ossama Obeid, Nasser Zalmout, Salam Khalifa, Dima Taji, Mai Oudah, Bashar Alhafni, Go Inoue, Fadhl Eryani, Alex Erdmann, er, Nizar Habash

We present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python.

Arabic Sentiment Analysis Arabic Text Diacritization +6

MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction

no code implementations • LREC 2018 • Ossama Obeid, Salam Khalifa, Nizar Habash, Houda Bouamor, Wajdi Zaghouani, Kemal Oflazer

In this paper, we introduce MADARi, a joint morphological annotation and spelling correction system for texts in Standard and Dialectal Arabic.

Dialect Identification LEMMA +2

An Arabic Morphological Analyzer and Generator with Copious Features

no code implementations • WS 2018 • Dima Taji, Salam Khalifa, Ossama Obeid, Fadhl Eryani, Nizar Habash

We introduce CALIMA-Star, a very rich Arabic morphological analyzer and generator that provides functional and form-based morphological features as well as built-in tokenization, phonological representation, lexical rationality and much more.

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

The Second QALB Shared Task on Automatic Text Correction for Arabic

no code implementations • WS 2015 • Alla Rozovskaya, Houda Bouamor, Nizar Habash, Wajdi Zaghouani, Ossama Obeid, Behrang Mohit

Machine Translation

A Pilot Study on Arabic Multi-Genre Corpus Diacritization

no code implementations • WS 2015 • Houda Bouamor, Wajdi Zaghouani, Mona Diab, Ossama Obeid, Kemal Oflazer, Mahmoud Ghoneim, Abdelati Hawwari

Machine Translation Speech Recognition

The First QALB Shared Task on Automatic Text Correction for Arabic

no code implementations • WS 2014 • Behrang Mohit, Alla Rozovskaya, Nizar Habash, Wajdi Zaghouani, Ossama Obeid

A Web-based Annotation Framework For Large-Scale Text Correction

no code implementations • IJCNLP 2013 • Ossama Obeid, Wajdi Zaghouani, Behrang Mohit, Nizar Habash, Kemal Oflazer, Nadi Tomeh

Machine Translation

Large Scale Arabic Error Annotation: Guidelines and Framework

no code implementations • LREC 2014 • Wajdi Zaghouani, Behrang Mohit, Nizar Habash, Ossama Obeid, Nadi Tomeh, Alla Rozovskaya, Noura Farra, Sarah Alkuhlani, Kemal Oflazer

Finally, we present the annotation tool that was developed as part of this project, the annotation pipeline, and the quality of the resulting annotations.

Machine Translation

ADIDA: Automatic Dialect Identification for Arabic

no code implementations • NAACL 2019 • Ossama Obeid, Mohammad Salameh, Houda Bouamor, Nizar Habash

This demo paper describes ADIDA, a web-based system for automatic dialect identification for Arabic text.

Dialect Identification

Building an Arabic Machine Translation Post-Edited Corpus: Guidelines and Annotation

no code implementations • LREC 2016 • Wajdi Zaghouani, Nizar Habash, Ossama Obeid, Behrang Mohit, Houda Bouamor, Kemal Oflazer

We present our guidelines and annotation procedure to create a human corrected machine translated post-edited corpus for the Modern Standard Arabic.

Machine Translation Translation

Guidelines and Framework for a Large Scale Arabic Diacritized Corpus

no code implementations • LREC 2016 • Wajdi Zaghouani, Houda Bouamor, Abdelati Hawwari, Mona Diab, Ossama Obeid, Mahmoud Ghoneim, Sawsan Alqahtani, Kemal Oflazer

This paper presents the annotation guidelines developed as part of an effort to create a large scale manually diacritized corpus for various Arabic text genres.

The User-Aware Arabic Gender Rewriter

no code implementations • 14 Oct 2022 • 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 Shared Task on Gender Rewriting

no code implementations • 22 Oct 2022 • Bashar Alhafni, Nizar Habash, Houda Bouamor, Ossama Obeid, Sultan Alrowili, Daliyah AlZeer, Khawlah M. Alshanqiti, Ahmed ElBakry, Muhammad ElNokrashy, Mohamed Gabr, Abderrahmane Issam, Abdelrahim Qaddoumi, K. Vijay-Shanker, Mahmoud Zyate

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.

Sentence

Camelira: An Arabic Multi-Dialect Morphological Disambiguator

no code implementations • 30 Nov 2022 • 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 Levantine.

Dialect Identification Morphological Disambiguation