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Mining Intelligence and Knowledge Exploration pp 268–277Cite as

Anaphora Resolution in Tamil Novels

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8891))

Abstract

We have presented a robust anaphora resolution system for Tamil, one of Indian languages belonging to Dravidian language family. We have used Conditional Random Fields (CRFs), a machine learning technique with linguistically motivated features. We have performed exhaustive experiments using data from different genres and domains and evaluated for portability and scalability. We have obtained an average accuracy of 64.83% across texts of different domains/genres. The results obtained are encouraging and comparable with earlier reported works.

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Author information

Authors and Affiliations

  1. AU-KBC Research Centre, MIT Campus of Anna University, Chennai, India

    A. Akilandeswari & Sobha Lalitha Devi

Authors
  1. A. Akilandeswari
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  2. Sobha Lalitha Devi
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Editor information

Editors and Affiliations

  1. University College Cork, 011927, Cork, Ireland

    Rajendra Prasath  & Philip O’Reilly  & 

  2. V.H.N.Senthikumara Nadar College, 626 001, Tamil Nadu, India

    T. Kathirvalavakumar

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© 2014 Springer International Publishing Switzerland

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Akilandeswari, A., Lalitha Devi, S. (2014). Anaphora Resolution in Tamil Novels. In: Prasath, R., O’Reilly, P., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8891. Springer, Cham. https://doi.org/10.1007/978-3-319-13817-6_26

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  • DOI: https://doi.org/10.1007/978-3-319-13817-6_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13816-9

  • Online ISBN: 978-3-319-13817-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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