Indiana University

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Events for the
Wednesday, September 18, 2013
  • ASMA: A system for automatic segmentation and morpho-syntactic disambiguation of Modern Standard Arabic

    Time: 03:00pm - 04:00pm 

    Place: Ballantine Hall 015


    Muhammad Abdul-Mageed

    In this paper, we present ASMA, a fast and efficient system for automatic segmentation and fine grained part of speech (POS) tagging of Modern Standard Arabic (MSA). ASMA performs segmentation both of agglutinative and of inflectional morphological boundaries within a word. In this work, we compare ASMA to two state of the art suites of MSA tools: AMIRA 2.1 (Diab et al., 2007; Diab, 2009) and MADA+TOKAN 3.2. (Habash et al., 2009). ASMA achieves comparable results to these two systems' state-of-the art performance. ASMA yields an accuracy of 98.34% for segmentation, and an accuracy of 96.26% for POS tagging with a rich tagset and 97.59%accuracy with an extremely reduced tagset.

    I may also put a slide about SAMAR, our system for subjectivity and sentiment analysis of Arabic social media.


    In category: Computational linguistics


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