论文标题
神经语言学的数据驱动模型和计算工具：语言技术观点
Data-driven models and computational tools for neurolinguistics: a language technology perspective
论文作者
论文摘要
在本文中，我们的重点是语言技术对神经语言学研究的联系和影响。我们介绍了基于大脑成像的神经语言研究的评论，重点是自然语言表示，例如单词嵌入和预训练的语言模型。神经语言学和语言技术的相互充实会导致脑意识自然语言表示的发展。医疗应用强调了该研究领域的重要性。
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.
