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arXiv · 2003.10540

Data-driven models and computational tools for neurolinguistics: a language technology perspective

Ekaterina Artemova·Amir Bakarov·Aleksey Artemov·Evgeny Burnaev·Maxim Sharaev
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Abstract

In this paper, our focus is the connection and influence of language technologies on the research in neurolinguistics. We present a review of brain imaging-based neurolinguistic studies with a focus on the natural language representations, such as word embeddings and pre-trained language models. Mutual enrichment of neurolinguistics and language technologies leads to development of brain-aware natural language representations. The importance of this research area is emphasized by medical applications.

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Ekaterina Artemova, Amir Bakarov, Aleksey Artemov, Evgeny Burnaev, Maxim Sharaev. 2020-03-23. Data-driven models and computational tools for neurolinguistics: a language technology perspective. https://arxiv.org/abs/2003.10540

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