The Typology of Polysemy: A Multilingual Distributional Framework

Ella Rabinovich, Yang Xu, Suzanne Stevenson

Research output: Contribution to conferencePaperpeer-review

Abstract

Lexical semantic typology has identified important crosslinguistic generalizations about the variation and commonalities in polysemy patterns-how languages package up meanings into words. Recent computational research has enabled investigation of lexical semantics at a much larger scale, but little work has explored lexical typology across semantic domains, nor the factors that influence cross-linguistic similarities. We present a novel computational framework that quantifies semantic affinity, the cross-linguistic similarity of lexical semantics for a concept. Our approach defines a common multilingual semantic space that enables a direct comparison of the lexical expression of concepts across languages. We validate our framework against empirical findings on lexical semantic typology at both the concept and domain levels. Our results reveal an intricate interaction between semantic domains and extra-linguistic factors, beyond language phylogeny, that co-shape the typology of polysemy across languages.

Original languageEnglish
Pages3370-3376
Number of pages7
StatePublished - 2020
Externally publishedYes
Event42nd Annual Meeting of the Cognitive Science Society: Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020 - Virtual, Online
Duration: 29 Jul 20201 Aug 2020

Conference

Conference42nd Annual Meeting of the Cognitive Science Society: Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020
CityVirtual, Online
Period29/07/201/08/20

Bibliographical note

Publisher Copyright:
© 2020 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY)

Keywords

  • cross-linguistic similarity
  • distributional semantics
  • multilingual word embeddings
  • semantic typology
  • word meaning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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