Fast yet rich morphological analysis

  • Authors:
  • Mohamed Altantawy;Nizar Habash;Owen Rambow

  • Affiliations:
  • Columbia University New York, NY;Columbia University New York, NY;Columbia University New York, NY

  • Venue:
  • FSMNLP '11 Proceedings of the 9th International Workshop on Finite State Methods and Natural Language Processing
  • Year:
  • 2011

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Abstract

Implementations of models of morphologically rich languages such as Arabic typically achieve speed and small memory footprint at the cost of abandoning linguistically abstract and elegant representations. We present a solution to modeling rich morphologies that is both fast and based on linguistically rich representations. In our approach, we convert a linguistically complex and abstract implementation of Arabic verbs in finite-state machinery into a simple precompiled tabular representation.