A Computational Model for the Linguistic Notion of Morphological Paradigm

Miikka Silfverberg, Ling Liu, Mans Hulden


Abstract
In supervised learning of morphological patterns, the strategy of generalizing inflectional tables into more abstract paradigms through alignment of the longest common subsequence found in an inflection table has been proposed as an efficient method to deduce the inflectional behavior of unseen word forms. In this paper, we extend this notion of morphological ‘paradigm’ from earlier work and provide a formalization that more accurately matches linguist intuitions about what an inflectional paradigm is. Additionally, we propose and evaluate a mechanism for learning full human-readable paradigm specifications from incomplete data—a scenario when we only have access to a few inflected forms for each lexeme, and want to reconstruct the missing inflections as well as generalize and group the witnessed patterns into a model of more abstract paradigmatic behavior of lexemes.
Anthology ID:
C18-1137
Volume:
Proceedings of the 27th International Conference on Computational Linguistics
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Editors:
Emily M. Bender, Leon Derczynski, Pierre Isabelle
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1615–1626
Language:
URL:
https://aclanthology.org/C18-1137
DOI:
Bibkey:
Cite (ACL):
Miikka Silfverberg, Ling Liu, and Mans Hulden. 2018. A Computational Model for the Linguistic Notion of Morphological Paradigm. In Proceedings of the 27th International Conference on Computational Linguistics, pages 1615–1626, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Cite (Informal):
A Computational Model for the Linguistic Notion of Morphological Paradigm (Silfverberg et al., COLING 2018)
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PDF:
https://aclanthology.org/C18-1137.pdf