Morphological Reinflection with Multiple Arguments: An Extended Annotation schema and a Georgian Case Study

• URL: http://arxiv.org/abs/2203.08527v1
• Date: Wed, 16 Mar 2022 10:47:29 GMT
• Title: Morphological Reinflection with Multiple Arguments: An Extended Annotation schema and a Georgian Case Study
• Authors: David Guriel, Omer Goldman, Reut Tsarfaty
• Abstract summary: We extend the UniMorph morphological dataset to cover verbs that agree with multiple arguments using true affixes. The dataset has 4 times more tables and 6 times more verb forms compared to the existing UniMorph dataset. It is expected to improve the coverage, consistency and interpretability of this benchmark.
• Score: 7.245355976804435
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: In recent years, a flurry of morphological datasets had emerged, most notably UniMorph, a multi-lingual repository of inflection tables. However, the flat structure of the current morphological annotation schemas makes the treatment of some languages quirky, if not impossible, specifically in cases of polypersonal agreement. In this paper we propose a general solution for such cases and expand the UniMorph annotation schema to naturally address this phenomenon, in which verbs agree with multiple arguments using true affixes. We apply this extended schema to one such language, Georgian, and provide a human-verified, accurate and balanced morphological dataset for Georgian verbs. The dataset has 4 times more tables and 6 times more verb forms compared to the existing UniMorph dataset, covering all possible variants of argument marking, demonstrating the adequacy of our proposed scheme. Experiments with a standard reinflection model show that generalization is easy when the data is split at the form level, but extremely hard when splitting along lemma lines. Expanding the other languages in UniMorph to this schema is expected to improve both the coverage, consistency and interpretability of this benchmark.

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