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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