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

Ossama Obeid, Nasser Zalmout, Salam Khalifa, Dima Taji, Mai Oudah, Bashar Alhafni, Go Inoue, Fadhl Eryani, Alexander Erdmann, Nizar Habash


Abstract
We present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python. CAMeL Tools currently provides utilities for pre-processing, morphological modeling, Dialect Identification, Named Entity Recognition and Sentiment Analysis. In this paper, we describe the design of CAMeL Tools and the functionalities it provides.
Anthology ID:
2020.lrec-1.868
Original:
2020.lrec-1.868v1
Version 2:
2020.lrec-1.868v2
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
7022–7032
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.868
DOI:
Bibkey:
Cite (ACL):
Ossama Obeid, Nasser Zalmout, Salam Khalifa, Dima Taji, Mai Oudah, Bashar Alhafni, Go Inoue, Fadhl Eryani, Alexander Erdmann, and Nizar Habash. 2020. CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 7022–7032, Marseille, France. European Language Resources Association.
Cite (Informal):
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing (Obeid et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.868.pdf
Code
 CAMeL-Lab/camel_tools
Data
Arabic-ToD