@inproceedings{152ed7341ecf48a28b056b2092e04735,
title = "CAMeL tools: An open source python toolkit for arabic natural language processing",
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.",
keywords = "Arabic, Dialect Identification, Morphology, Named Entity Recognition, Open Source, Sentiment Analysis",
author = "Ossama Obeid and Nasser Zalmout and Salam Khalifa and Dima Taji and Mai Oudah and Bashar Alhafni and Go Inoue and Fadhl Eryani and Alexander Erdmann and Nizar Habash",
note = "Publisher Copyright: {\textcopyright} European Language Resources Association (ELRA), licensed under CC-BY-NC",
year = "2020",
language = "English (US)",
isbn = "9791095546344",
series = "LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings",
publisher = "European Language Resources Association (ELRA)",
pages = "7022--7032",
editor = "Nicoletta Calzolari and Frederic Bechet and Philippe Blache and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis",
booktitle = "LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings",
}