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SEMINAR B(1)
| Lecturer(s) | YAMADA, AKITAKA |
|---|---|
| Credit(s) | 2 |
| Academic Year/Semester | 2025 Fall |
| Day/Period | Mon.5 |
| Campus | SFC |
| Class Format | Face-to-face classes (conducted mainly in-person) |
| Registration Number | 48080 |
| Faculty/Graduate School | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
| Year Level | 1, 2, 3, 4 |
| Field | RESEARCH SEMINARS SEMINARS |
| Grade Type | This item will appear when you log in (Keio ID required). |
| Prerequisites(Recommended) | データ分析や統計学の入門の授業を取っていることが望ましいが、必須ではない。 |
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| Location | SFC |
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Student Screening Courses requiring entry to selection should be registered via SOL-A. *Only students who have a CNS account and who are not students of the Faculty of Policy Studies, Faculty of Environment and Information Studies, Graduate School of Media and Governance, Faculty of Nursing and Medical Care, and Graduate School of Health Management can enter via the system. Please check K-Support News for the details. | This item will appear when you log in (Keio ID required). |
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| Equipment & Software | oXgen, R, stan, python |
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| K-Number | FPE-CO-05003-211-02 |
| Course Administrator | Faculty/Graduate School | FPE | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
|---|---|---|---|
| Department/Major | CO | ||
| Main Course Number | Level | 0 | Faculty-wide |
| Major Classification | 5 | Research Seminars | |
| Minor Classification | 00 | Seminar | |
| Subject Type | 3 | Elective subject | |
| Supplemental Course Information | Class Classification | 2 | Lecture |
| Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
| Language of Instruction | 1 | Japanese | |
| Academic Discipline | 02 | Literature, linguistics, and related fields | |
Course Summary
This seminar explores the construction and analysis of digital text archives (corpora) from the perspectives of Linguistics, Digital Humanities, and Fieldwork.
Course Description/Objectives/Teaching Method/Intended Learning Outcome
A. Course Content
This seminar is structured around three key steps:
1. Fieldwork: Collecting Language Data
Participants will gather linguistic data based on their own interests. Examples include recording dialects from their hometown or collecting English composition samples from learners at educational institutions that have agreed to participate.
2. Digital Archiving: Creating a Digital Text Archive
Using various tools, participants will transcribe the collected data into a searchable digital format and annotate it appropriately, gaining hands-on experience in creating a digital text archive.
3. Data Analysis: Interpreting Text Data
Participants will analyze the digital text data using applied statistical methods and provide linguistic interpretations.
B. Seminar Format
This seminar will proceed in two main styles:
1. Input (Knowledge Acquisition):
Participants will read well-known textbooks and research papers to learn the knowledge, techniques, and analytical methods used in previous studies. As for the stats, we will watch a video to enhance the skills.
2. Output (Practical Application):
In addition to working with existing corpora, participants will apply the knowledge they have acquired by creating their own corpora and performing annotations.
D. Goals
The goal of this seminar is to enable participants to:
1. Collect linguistic data independently.
2. Archive the collected data effectively.
3. Perform appropriate analyses on the archived data.
This seminar is structured around three key steps:
1. Fieldwork: Collecting Language Data
Participants will gather linguistic data based on their own interests. Examples include recording dialects from their hometown or collecting English composition samples from learners at educational institutions that have agreed to participate.
2. Digital Archiving: Creating a Digital Text Archive
Using various tools, participants will transcribe the collected data into a searchable digital format and annotate it appropriately, gaining hands-on experience in creating a digital text archive.
3. Data Analysis: Interpreting Text Data
Participants will analyze the digital text data using applied statistical methods and provide linguistic interpretations.
B. Seminar Format
This seminar will proceed in two main styles:
1. Input (Knowledge Acquisition):
Participants will read well-known textbooks and research papers to learn the knowledge, techniques, and analytical methods used in previous studies. As for the stats, we will watch a video to enhance the skills.
2. Output (Practical Application):
In addition to working with existing corpora, participants will apply the knowledge they have acquired by creating their own corpora and performing annotations.
D. Goals
The goal of this seminar is to enable participants to:
1. Collect linguistic data independently.
2. Archive the collected data effectively.
3. Perform appropriate analyses on the archived data.
Research Seminar Theme
Linguistics, Digital Humanities, and Fieldwork
Project Theme (next semester)
Linguistics, Digital Humanities, and Fieldwork
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