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A Rule-Based Acquisition Model Adapted for Morphological Analysis

  • Constantine Lignos
  • Erwin Chan
  • Mitchell P. Marcus
  • Charles Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6241)

Abstract

We adapt the cognitively-oriented morphology acquisition model proposed in (Chan 2008) to perform morphological analysis, extending its concept of base-derived relationships to allow multi-step derivations and adding features required for robustness on noisy corpora. This results in a rule-based morphological analyzer which attains an F-score of 58.48% in English and 33.61% in German in the Morpho Challenge 2009 Competition 1 evaluation. The learner’s performance shows that acquisition models can effectively be used in text-processing tasks traditionally dominated by statistical approaches.

Keywords

Word Pair Base Word Acquisition Model Vowel Harmony Abstract Stem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Constantine Lignos
    • 1
  • Erwin Chan
    • 2
  • Mitchell P. Marcus
    • 1
  • Charles Yang
    • 1
  1. 1.University of PennsylvaniaUSA
  2. 2.University of ArizonaUSA

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