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

Research output: Chapter in Book/Report/Conference proceedingChapter

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.
Original languageEnglish (US)
Title of host publicationLREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings
PublisherEuropean Language Resources Association (ELRA)
Pages7022-7032
Number of pages11
ISBN (Print)9791095546344
StatePublished - 2020

Publication series

NameLREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings

Keywords

  • Arabic
  • Dialect Identification
  • Morphology
  • Named Entity Recognition
  • Open Source
  • Sentiment Analysis

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