Cognitive Science of Language / Exercise 1

In today's information-driven society, data mining techniques for extracting knowledge from vast data are becoming increasingly important. This course aims to enhance students' understanding of fundamental statistical methods for language data analysis and develop skills in research paper writing and conference presentations. Specifically, students will learn to apply statistical methods, collect data, analyze results, and interpret findings through literature review and hands-on practice. Additionally, training will be provided on writing academic papers and presenting research outcomes at domestic and international conferences in both Japanese and English, to foster researchers and professionals capable of contributing on a global scale.

1. Develop the ability to read and comprehend research papers and texts in Japanese and English related to language data analysis.
2. Acquire skills to perform statistical analyses and correctly interpret the results independently.
3. Conduct literature reviews and experimental data analyses in parallel while developing research papers.
4. Gain experience in academic presentations related to language research and engage in discussions with other researchers.

Japanese

This course will deepen students' understanding of fundamental statistical methods for language data analysis while improving their research paper writing and academic presentation skills. Specifically, students will engage in the literature review, apply statistical methods, collect data, analyze findings, and interpret results. The ultimate goal is to submit a thesis while also presenting research findings at domestic and international conferences and submitting papers for publication.

Graduate students are required to attend weekly meetings with their advisor, present on previous research weekly, submit research reports, and present at least once annually at a domestic/international conference. Meeting these criteria will be considered the minimum requirement (60 points). Further evaluations will be based on the quality of presentations and contributions to the research group.

Students are encouraged to gather materials and references necessary for their research.

Basic proficiency in Python and text-mining tools is recommended.

• Office hours are held at Shintani Lab (Omiya Campus, Building 4, Room 4402-2). Students can also contact the advisor via email for any inquiries.

Non-regionally-oriented course

• Course that cultivates an ability for utilizing knowledge
• Course that cultivates a basic self-management skills
• Course that cultivates a basic problem-solving skills

Most classes are interactive

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