@inbook{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",
booktitle = "LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings",
}