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        <title>Understanding Computational Models of Semantic Change: New Insights from the Speech Community</title>
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    <abstract>We investigate the descriptive relevance of widely used semantic change models in linguistic descriptions of present-day speech communities. We focus on the sociolinguistic issue of contact-induced semantic shifts in Quebec English, and analyze 40 target words using type-level and token-level word embeddings, empirical linguistic properties, and – crucially – acceptability ratings and qualitative remarks by 15 speakers from Montreal. Our results confirm the overall relevance of the computational approaches, but also highlight practical issues and the complementary nature of different semantic change estimates. To our knowledge, this is the first study to substantively engage with the speech community being described using semantic change models.</abstract>
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%0 Conference Proceedings
%T Understanding Computational Models of Semantic Change: New Insights from the Speech Community
%A Miletić, Filip
%A Przewozny-Desriaux, Anne
%A Tanguy, Ludovic
%Y Bouamor, Houda
%Y Pino, Juan
%Y Bali, Kalika
%S Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F miletic-etal-2023-understanding
%X We investigate the descriptive relevance of widely used semantic change models in linguistic descriptions of present-day speech communities. We focus on the sociolinguistic issue of contact-induced semantic shifts in Quebec English, and analyze 40 target words using type-level and token-level word embeddings, empirical linguistic properties, and – crucially – acceptability ratings and qualitative remarks by 15 speakers from Montreal. Our results confirm the overall relevance of the computational approaches, but also highlight practical issues and the complementary nature of different semantic change estimates. To our knowledge, this is the first study to substantively engage with the speech community being described using semantic change models.
%R 10.18653/v1/2023.emnlp-main.572
%U https://aclanthology.org/2023.emnlp-main.572
%U https://doi.org/10.18653/v1/2023.emnlp-main.572
%P 9209-9220

Markdown (Informal)

[Understanding Computational Models of Semantic Change: New Insights from the Speech Community](https://aclanthology.org/2023.emnlp-main.572) (Miletić et al., EMNLP 2023)

• Understanding Computational Models of Semantic Change: New Insights from the Speech Community (Miletić et al., EMNLP 2023)

ACL

• Filip Miletić, Anne Przewozny-Desriaux, and Ludovic Tanguy. 2023. Understanding Computational Models of Semantic Change: New Insights from the Speech Community. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9209–9220, Singapore. Association for Computational Linguistics.