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

David Guriel, Omer Goldman, Reut Tsarfaty

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

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 schema makes the treatment of some languages quirky, if not impossible, specifically in cases of polypersonal agreement, where verbs agree with multiple arguments using true affixes. In this paper we propose to address this phenomenon, by expanding the UniMorph annotation schema to hierarchical feature structure that naturally accommodates complex argument marking. 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.

שפה מקוריתאנגלית
כותר פרסום המארחACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Short Papers)
עורכיםSmaranda Muresan, Preslav Nakov, Aline Villavicencio
מוציא לאורAssociation for Computational Linguistics (ACL)
עמודים196-202
מספר עמודים7
מסת"ב (אלקטרוני)9781955917223
סטטוס פרסוםפורסם - 2022
פורסם באופן חיצוניכן
אירוע60th Annual Meeting of the Association for Computational Linguistics, ACL 2022 - Dublin, אירלנד
משך הזמן: 22 מאי 202227 מאי 2022

סדרות פרסומים

שםProceedings of the Annual Meeting of the Association for Computational Linguistics
כרך2
ISSN (מודפס)0736-587X

כנס

כנס60th Annual Meeting of the Association for Computational Linguistics, ACL 2022
מדינה/אזוראירלנד
עירDublin
תקופה22/05/2227/05/22

הערה ביבליוגרפית

Publisher Copyright:
© 2022 Association for Computational Linguistics.

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