Abstract
This paper presents a proposal for learning morphological inflections by a graphemeto-phoneme learning model. No special processing is used for specific languages. The starting point has been our previous research on induction of phonology and morphology for normalization of historical texts. The results show that a very simple method can indeed improve upon some baselines, but does not reach the accuracies of the best systems in the task.
Cite
CITATION STYLE
Alegria, I., & Etxeberria, I. (2016). EHU at the SIGMORPHON 2016 shared task. A simple proposal: Grapheme-to-phoneme for inflection. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, SIGMORPHON 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 (pp. 27–30). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-2004
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