Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions
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Author / Producer
Date
2020-11
Publication Type
Conference Paper
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yes
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OPEN ACCESS
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Abstract
A grammatical gender system divides a lexicon into a small number of relatively fixed grammatical categories. How similar are these gender systems across languages? To quantify the similarity, we define gender systems extensionally, thereby reducing the problem of comparisons between languages’ gender systems to cluster evaluation. We borrow a rich inventory of statistical tools for cluster evaluation from the field of community detection (Driver and Kroeber, 1932; Cattell, 1945), that enable us to craft novel information theoretic metrics for measuring similarity between gender systems. We first validate our metrics, then use them to measure gender system similarity in 20 languages. We then ask whether our gender system similarities alone are sufficient to reconstruct historical relationships between languages. Towards this end, we make phylogenetic predictions on the popular, but thorny, problem from historical linguistics of inducing a phylogenetic tree over extant Indo-European languages. Of particular interest, languages on the same branch of our phylogenetic tree are notably similar, whereas languages from separate branches are no more similar than chance.
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Publication status
published
Book title
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Journal / series
Volume
Pages / Article No.
5664 - 5675
Publisher
Association for Computational Linguistics
Event
Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
Edition / version
Methods
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Geographic location
Date collected
Date created
Subject
Organisational unit
09682 - Cotterell, Ryan / Cotterell, Ryan
Notes
Due to the Coronavirus (COVID-19) the conference was conducted virtually.