Course Introduction
Linguistic Data Science Course
Using the methodology of data analysis and computational science, this course aims to solve theoretical and empirical problems that were not fully explained by previous research and to develop new ways of doing linguistic research. In particular, novelty and advancement of our linguistic investigation are found in the discovery and theorization of new linguistic facts through processing a large amount of linguistic data.
Courses Offered
Master's Program
- Advanced Lectures in Data Science and Linguistics 1
- Advanced Lectures in Data Science and Linguistics 2
- Advanced Lectures in Linguistic Ecological Studies 1
- Advanced Lectures in Linguistic Ecological Studies 2
- Advanced Lectures in Corpus Linguistics
- Advanced Lectures in Linguistics and Communication
- Advanced Lectures in Linguistic Description
- Advanced Lectures in Statistical Usage Study
- Advanced Lectures in Linguistic Computational System
- Advanced Lectures in Linguistic Interfaces
- Advanced Lectures in Functional Linguistics
- Advanced Lectures in Computational Linguistics
Doctoral Program
- Selected Topics in Quantitative Analysis of Cultures 1
- Selected Topics in Quantitative Analysis of Cultures 2
- Extensive Lectures in Cultural Phylogenetics 1
- Extensive Lectures in Cultural Phylogenetics 2
- Extensive Lectures in Special Research in Culture and Information
- Extensive Lectures in Style of Culture
- Extensive Lectures in Historical Cultural Information Studies 1
- Extensive Lectures in Historical Cultural Information Studies 2
- Extensive Lectures in Analytical Chemistry for Cultural Properties 1
- Extensive Lectures in Analytical Chemistry for Cultural Properties 2
Thesis Title Examples
Master's Program
- Quantitative Research on the Presumption of the Sender of a Text Message
- Semantic Analysis of the Sentence Ending with "ga aru"‐Discussion on Its Degree
- Descriptive Research on the Dialect of Southern Lingshi County
- Comparative Study of Emotional Expressions in Japanese and Chinese‐Focusing on Person Restriction and Sentence Structure‐
Doctoral Program
- Research on the Relationship between Linguistic Change and Non-linguistic Elements from the Mathematical Approach
Faculty Members
SHEN Li
Professor
Research Field
theoretical linguistics, linguistic typology
Research Topic
Analyses of the interface between syntax and morphology, explication of linguistic change in time and space
I specialize in the comparative research and theory construction in Asian languages, as well as the mechanism of linguistic change through language contact. I teach students how to analyze linguistic data with a linguistic method and put the results together in a verifiable way, and provide them with the practical skill of linguistic data analyses using the inductive or deductive method.
YAMAUCHI Nobuyuki
Professor
Research Field
English linguistics, corpus linguistics
Research Topic
Research on the methodology of linguistic description and study of Japanese and English usages
I deal with linguistic descriptions and usages in various linguistic phenomena in English and Japanese. I encourage students to utilize various corpora and seek for the best method of analysis for a variety of linguistic phenomena, and teach them the methodology of linguistic analyses for solving their respective research questions in linguistics.
HOSHI Hidehito
Associate Professor
Research Field
linguistic theory, syntax
Research Topic
Descriptive, theoretical, and experimental syntax of natural language
I work on the development of a theoretical model explaining various syntactic phenomena in natural language. Furthermore, I examine the validity of the theoretical model by experimentally testing the hypothesis about linguistic competence and performance.
ITO Noriko
Associate Professor
Research Field
functional linguistics
Research Topic
Modelling of the Japanese grammatical and semantic resources applicable to large corpus analyses
I am engaged in the study and description of Japanese language both in written and spoken forms. I am trying to work out a computational model of grammatical and semantic resources applicable to analyze large corpus, which allows us to improve information retrieval and conversational agent systems.