A rule-based acquisition model adapted for morphological analysis

Authors:
Constantine Lignos;Erwin Chan;Mitchell P. Marcus;Charles Yang
Affiliations:
University of Pennsylvania;University of Arizona;University of Pennsylvania;University of Pennsylvania
Venue:
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Year:
2009

Citing 5
Cited 0

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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.