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.
Thanks to Jana Beck for her assistance in analyzing the German results and for her insightful comments throughout the development process. Portions of this paper were adapted from the material presented in the CLEF 2009 Morpho Challenge Workshop (Lignos et al. 2009).
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Lignos, C., Chan, E., Marcus, M.P., Yang, C. (2010). A Rule-Based Acquisition Model Adapted for Morphological Analysis. In: Peters, C., et al. Multilingual Information Access Evaluation I. Text Retrieval Experiments. CLEF 2009. Lecture Notes in Computer Science, vol 6241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15754-7_79
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DOI: https://doi.org/10.1007/978-3-642-15754-7_79
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