Cognitive Linguistics and Language Data Analysis Laboratory｜Shibaura Institute of Technology

Linguistics is a field of study that extracts patterns from language data as it is actually used, and seeks to describe and explain the underlying mechanisms and tendencies as models. However, it is not realistic to investigate every individual speaker exhaustively. Therefore, by analyzing collections of language data called corpora, which serve as samples, we aim to identify tendencies in language use within the range that can be observed. In our laboratory, we aim to structure unstructured data related to language and the mind, and to visualize qualities that are otherwise difficult to observe. Specifically, we analyze differences in language use across age groups and communities, variations in linguistic expression associated with psychological states, and characteristics of learners’ communication from both qualitative and quantitative perspectives. The data used in our research are collected through various channels, including text collection via API requests using Python, small-scale questionnaire surveys of people close to us, and large-scale questionnaire surveys conducted through research companies. The language and psychological data obtained in this way are mechanically processed using programming and software, and then analyzed and modeled using statistical methods. We then reinterpret the results from the perspectives of linguistics and psychology, with the aim of explaining differences in language use and human cognition. Many students in our laboratory are interested in modeling how movements of the mind and differences in cognition appear in linguistic expression, or how linguistic expression influences society. For our main research topics, please see the “Laboratory Close-up” section below. This section is updated regularly.

College of Engineering Mechanical Engineering Advanced Mechanical Engineering | Graduate School of Engineering and Science（Master's Program） Mechanical Engineering Course | Graduate School of Engineering and Science（Doctor's Program） Functional Control Systems Course

Faculty Name

SHINTANI, Mayu

Keyword

Language Data Analysis,Cognitive Linguistics,Psychometrics,Educational Technology,Textmining

Laboratory location

No.4 Building OMIYA Campus 4F 4402-2

This lab is for this SDG activity:

Text Mining
Quantitative Text Analytics
Linguistic Analysis Using Python
Educational Technology
Development and validation of psychometric scales
Statistical Analysis
Cognitive Linguistics

Deepen our understanding of human diversity through language. Improve language education by analyzing people’s psychological states and the language they use to express them.

Predictive Modeling of Code-Switching Occurrence Using Psychological Traits and Individual Attributes as Explanatory Variables in Chinese Conversation
Text Mining Analysis of English Learners’ Perceptions of Generative AI
Surveys of Communication Skills and Their Development Among Engineering Students and Professionals
Development of Predictive Models for J-Pop Popularity Using Spotify Metadata and Lyrics
Development of Psychometric Scales to Measure Psychological Readiness for English Learning
Investigations of the uncanny valley phenomenon based on linguistic data and psychological states

Laboratory close-up

- Area: This laboratory is positioned at the intersection of science-oriented quantitative approaches and humanities-oriented qualitative approaches. Our research focuses on language, communication, and human cognition, while using statistical analysis and mathematical modeling. This laboratory is suitable for students who are interested in topics such as “I am in science or engineering, but I want to conduct research on language,” “I would like to apply my knowledge of statistics to language research,” “I would like to analyze linguistic data through programming,” or “I would like to analyze education from an engineering perspective.” - Recent student research topics: Recent topics include “Prediction of code-switching occurrence in Japanese language use by Chinese international students,” “Development of predictive models for J-Pop popularity using Spotify metadata and lyrics,” “Analysis of consumer behavior in oshi-katsu based on personality,” “Development of psychometric scales for evaluating the uncanny valley in artificial faces,” and “A survey of English WTC among engineering students.” - Graduate and undergraduate research seminars: Seminars are held on the Toyosu Campus. In addition to reading course materials and academic papers, students engage in practical data analysis using Python and statistical software. Students who are new to programming or statistical analysis will be guided step by step. - For those considering graduate study: Students who wish to receive supervision at Shibaura Institute of Technology’s graduate programs (Master’s and Doctoral) are encouraged to contact us in advance. Contact: shintani[atatatat]shibaura-it. ac. jp (please replace “[atatat]” with “@” and adjust punctuation as needed) - International students: The laboratory accepts international students who hold a Japanese student visa (with prior experience). If you are interested, please consult in advance via the TAO system or by direct contact.