The task of morphological analysis is to produce a complete list of lemma+tag analyses for a given word-form. We propose a discriminative string transduction approach which exploits plain inflection tables and raw text corpora, thus obviating the need for expert annotation. Experiments on four languages demonstrate that our system has much higher coverage than a hand-engineered FST analyzer, and is more accurate than a state-of-the-art morphological tagger.
CITATION STYLE
Nicolai, G., & Kondrak, G. (2017). Morphological analysis without expert annotation. In 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference (Vol. 2, pp. 211–216). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/e17-2034
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