Collecting and Predicting Neurocognitive Norms for Mandarin Chinese

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Language researchers have long assumed that concepts can be represented by sets of semantic features, and have traditionally encountered challenges in identifying a feature set that could be sufficiently general to describe the human
conceptual experience in its entirety.

In the dataset of English norms presented by Binder et al. (2016), also known as Binder norms, they introduced a new set of neurobiologically motivated semantic features in which conceptual primitives were defined in terms of modalities of neural information processing.However, no comparable norms are currently
available for other languages.

In our work, we built the Mandarin Chinese norm by translating the stimuli used in the original study and developed a comparable collection of human ratings for Mandarin Chinese. We also conducted some experiments on the automatic
prediction of the Chinese Norms based on the word embeddings of the corresponding words to assess the feasibility of modeling experiential
semantic features via corpus-based representations.
Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Computational Semantics
EditorsMaxime Amblard, Ellen Breitholtz
PublisherAssociation for Computational Linguistics (ACL)
Pages240–245
ISBN (Electronic)978-1-959429-74-6
Publication statusPublished - Jun 2023
Event15th International Conference on Computational Semantics (IWCS) - University of Lorraine, Nancy, France
Duration: 20 Jun 202323 Jun 2023

Conference

Conference15th International Conference on Computational Semantics (IWCS)
Abbreviated titleIWCS 2023
Country/TerritoryFrance
CityNancy
Period20/06/2323/06/23

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