Data-driven models and computational tools for neurolinguistics: a language technology perspective
This work addresses the integration of computational tools into neurolinguistics for researchers and medical practitioners, but it is incremental as it primarily reviews existing studies.
The paper reviews how language technologies, particularly natural language representations like word embeddings and pre-trained models, influence neurolinguistics research using brain imaging, leading to the development of brain-aware representations with potential medical applications.
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.