A Rule-Based Acquisition Model Adapted for Morphological Analysis

@inproceedings{Lignos2009ARA,
  title={A Rule-Based Acquisition Model Adapted for Morphological Analysis},
  author={Constantine Lignos and Erwin Chan and Mitchell P. Marcus and Charles Yang},
  booktitle={CLEF},
  year={2009}
}
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… CONTINUE READING
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Key Quantitative Results

  • 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 resulting analyses achieve an F-measure of 58.48% in English and 33.61% in German in the official Morpho Challenge 2009 competition 1 evaluation, learning the rules presented in Table 1.

References

Publications referenced by this paper.
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A Rule - Based Unsupervised Morphology Learning Framework

C. Lignos, E. Chan, P. MarcusM., C. Yang
  • Working Notes of the 10 th Workshop of the Cross - Language Evaluation Forum , CLEF
  • 2009
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HIGHLY INFLUENTIAL

A Rule-Based Unsupervised Morphology Learning Framework. In Working Notes of the 10th Workshop of the CrossLanguage Evaluation Forum, CLEF

C. Lignos, E. Chan, Marcus M.P, C. Yang
  • September 30–October
  • 2009
VIEW 3 EXCERPTS

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