Camel Treebank: An Open Multi-genre Arabic Dependency Treebank

no code implementations • LREC 2022 • Nizar Habash, Muhammed AbuOdeh, Dima Taji, Reem Faraj, Jamila El Gizuli, Omar Kallas

We present the Camel Treebank (CAMELTB), a 188K word open-source dependency treebank of Modern Standard and Classical Arabic.

PALMYRA 2.0: A Configurable Multilingual Platform Independent Tool for Morphology and Syntax Annotation

1 code implementation • UDW (COLING) 2020 • Dima Taji, Nizar Habash

We present PALMYRA 2. 0, a graphical dependency-tree visualization and editing software.

Dependency Parsing

Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations

no code implementations • COLING 2020 • Yash Kankanampati, Joseph Le Roux, Nadi Tomeh, Dima Taji, Nizar Habash

In this paper we present a parsing model for projective dependency trees which takes advantage of the existence of complementary dependency annotations which is the case in Arabic, with the availability of CATiB and UD treebanks.

ARC Dependency Parsing

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

An Arabic Dependency Treebank in the Travel Domain

no code implementations • 29 Jan 2019 • Dima Taji, Jamila El Gizuli, Nizar Habash

In this paper we present a dependency treebank of travel domain sentences in Modern Standard Arabic.

Translation

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.

Palmyra: A Platform Independent Dependency Annotation Tool for Morphologically Rich Languages

no code implementations • LREC 2018 • Talha Javed, Nizar Habash, Dima Taji

Dependency Parsing Transliteration

CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing

no code implementations • LREC 2018 • Amir More, {\"O}zlem {\c{C}}etino{\u{g}}lu, {\c{C}}a{\u{g}}r{\i} {\c{C}}{\"o}ltekin, Nizar Habash, Beno{\^\i}t Sagot, Djam{\'e} Seddah, Dima Taji, Reut Tsarfaty

Dependency Parsing Morphological Analysis +1

Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic

no code implementations • MTSummit 2017 • Alexander Erdmann, Nizar Habash, Dima Taji, Houda Bouamor

We present the second ever evaluated Arabic dialect-to-dialect machine translation effort, and the first to leverage external resources beyond a small parallel corpus.

Machine Translation Translation

CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

no code implementations • CONLL 2017 • Daniel Zeman, Martin Popel, Milan Straka, Jan Haji{\v{c}}, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinkov{\'a}, Jan Haji{\v{c}} jr., Jaroslava Hlav{\'a}{\v{c}}ov{\'a}, V{\'a}clava Kettnerov{\'a}, Zde{\v{n}}ka Ure{\v{s}}ov{\'a}, Jenna Kanerva, Stina Ojala, Anna Missil{\"a}, Christopher D. Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, H{\'e}ctor Mart{\'\i}nez Alonso, {\c{C}}a{\u{g}}r{\i} {\c{C}}{\"o}ltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, M, Michael l, Jesse Kirchner, Hector Fern Alcalde, ez, Jana Strnadov{\'a}, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendon{\c{c}}a, L, Tatiana o, Rattima Nitisaroj, Josie Li

The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.

Dependency Parsing

Universal Dependencies for Arabic

no code implementations • WS 2017 • Dima Taji, Nizar Habash, Daniel Zeman

We describe the process of creating NUDAR, a Universal Dependency treebank for Arabic.

Machine Translation Question Answering

A Parallel Corpus for Evaluating Machine Translation between Arabic and European Languages

no code implementations • EACL 2017 • Nizar Habash, Nasser Zalmout, Dima Taji, Hieu Hoang, Maverick Alzate

We present Arab-Acquis, a large publicly available dataset for evaluating machine translation between 22 European languages and Arabic.

Benchmarking Machine Translation +1

CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation

no code implementations • COLING 2016 • Anas Shahrour, Salam Khalifa, Dima Taji, Nizar Habash

In this paper, we present CamelParser, a state-of-the-art system for Arabic syntactic dependency analysis aligned with contextually disambiguated morphological features.

Dependency Parsing Morphological Analysis +2

The Columbia University - New York University Abu Dhabi SIGMORPHON 2016 Morphological Reinflection Shared Task Submission

no code implementations • WS 2016 • Dima Taji, Esk, Ramy er, Nizar Habash, Owen Rambow