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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

BAAC: Bangor Arabic Annotated Corpus

Author 1: Ibrahim S Alkhazi Author 2: William J. Teahan
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 11 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.091120

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Abstract

This paper describes the creation of the new Bangor Arabic Annotated Corpus (BAAC) which is a Modern Standard Arabic (MSA) corpus that comprises 50K words manually annotated by parts-of-speech. For evaluating the quality of the corpus, the Kappa coefficient and a direct percent agreement for each tag were calculated for the new corpus and a Kappa value of 0.956 was obtained, with an average observed agreement of 94.25%. The corpus was used to evaluate the widely used Madamira Arabic part-of-speech tagger and to further investigate compression models for text compressed using part-of-speech tags. Also, a new annotation tool was developed and employed for the annotation process of BAAC.

Keywords

Component arabic language corpus annotated corpora analysis results

How to Cite this Article

Alkhazi, I. S., & Teahan, W. J. (2018). BAAC: Bangor Arabic Annotated Corpus. International Journal of Advanced Computer Science and Applications, 9(11). https://doi.org/10.14569/IJACSA.2018.091120

Alkhazi, Ibrahim S, and William J. Teahan. "BAAC: Bangor Arabic Annotated Corpus." International Journal of Advanced Computer Science and Applications, vol. 9, no. 11, 2018, https://doi.org/10.14569/IJACSA.2018.091120.

@article{Alkhazi2018,
  title     = {BAAC: Bangor Arabic Annotated Corpus},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {11},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Ibrahim S Alkhazi and William J. Teahan},
  doi       = {10.14569/IJACSA.2018.091120},
  url       = {https://doi.org/10.14569/IJACSA.2018.091120}
}

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