Papers with contact-induced semantic shifts

1 papers
Understanding Computational Models of Semantic Change: New Insights from the Speech Community (2023.emnlp-main)

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Challenge: Using type-level and token-level word embeddings, we obtain semantic change estimates from type-based models and empirical linguistic properties.
Approach: They analyze 40 target words with type-level and token-level word embeddings, empirical linguistic properties, and speaker-provided acceptability ratings and qualitative remarks.
Outcome: The proposed models are able to describe the sociolinguistic issue of contact-induced semantic shifts in Quebec English and are validated by qualitative interviews with 15 speakers from Montreal.

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