Cognitive Linguistics & Quantitative Text Analysis Laboratory
We reveal the movement of the human mind with linguistic data.
Linguistics is the scientific study of language, encompassing the analysis of linguistic characteristics and the construction of linguistic models. Languages are dynamic systems that evolve over time and across communities. However, due to the inherent limitations of studying individual speakers, it is necessary to construct a representative corpus, a collection of language data, to gain insights into population-level trends. In our laboratory, we analyze this qualitatively and quantitatively by comparing words used in different eras and communities, or between different languages, or by comparing historical changes in the same language. To create corpora, we use programming and questionnaires. We then machine process them using our knowledge of natural language processing, and statistically analyze and quantify the resulting numerical values. However, since the analysis process necessitates the utilization of research outcomes from linguistics (e.g., categorization, modification, and connective relationships) and cognitive science (e.g., how individuals process language), our laboratory employs an analytical approach that integrates the humanities and sciences. Consequently, our laboratory is equipped to conduct research that can be approached from either a humanities or a science perspective.
STUDY FIELDS
- Cognitive Linguistics
- Quantitative Text Analysis
- Linguistic Statistics
- Educational Technology
FOR SOCIETY
Deepen our understanding of the world's diversity through language. Provide better education by assessing people's psychological status and the language they use to express it.
RESEARCH THEMES
- Revealing historical meaning changes in color terms
- Exploring learner psychology through quantitative text analysis
- Constructing psychometric scales to measure the psychology of L2 English learners
- Constructing causal models of psychological factors in relation to English proficiency levels