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授業情報/Course information

科目一覧へ戻る 2022/04/06 現在

科目名/Subject 英語学特講Ⅰ
担当教員(所属)/Instructor 於保 淳 (商学部)
授業科目区分/Category 昼間コース 学科別専門科目
開講学期/Semester 2022年度/Academic Year  後期/Fall Semester
開講曜限/Class period 金/Fri 2
対象所属/Eligible Faculty 商学部/Faculty of Commerce
配当年次/Years 2年 , 3年 , 4年
単位数/Credits 2
研究室番号/Office 於保 淳
オフィスアワー/Office hours 於保 淳(Office hours: TBA)
更新日/Date of renewal 2022/02/28
授業の目的・方法
/Course Objectives and method
This course will investigate the syntax and semantics of quantifiers from cross-linguistic perspectives.
All natural languages have ways to represent quantification. However, it appears that the way of representations differs from language to language. For example, in Japanese, to represent the situation described in the English sentence (1), there are at least three ways, as shown in (2)-(4).

(1) All the cats ran away.

(2) Subete-no neko-ga nigedashita. [all-gen cat-nom ran.away]
(3) Neko subete-ga nigedashita. [cat all-nom ran.away]
(4) Neko-ga subete nigedashita. [cat-nom all ran.away]

How can we analyze the difference between Japanese and English? Can all the variants in Japanese in (2)-(4) be analyzed in a unified fashion? Are there any languages that show similar quantificational patterns to Japanese or English? Are there any languages that show different quantificational patterns from both Japanese and English? If any, how can we analyze such languages?

We will explore these questions not merely from descriptive points, but from theoretical aspects.
達成目標
/Course Goals
- Acquire basic knowledge about quantifiers in natural language
- Develop skills in reading academic literature in syntax and semantics and writing a squib.
- Gain practical experience applying the theoretical ideas discussed in class to new data.
授業内容
/Course contents
1. Introduction/Formal Foundation
2. Formal Foundation/ Compositional Semantics
3. Compositional Semantics
4. Compositional Semantics
5. Generalized Quantifier Theory I
6. Generalized Quantifier Theory I
7. Generalized Quantifier Theory I / Generalized Quantifier Theory II
8. Generalized Quantifier Theory II
9. Generalized Quantifier Theory II
10. An Alternative Analysis
11. An Alternative Analysis
12. An Alternative Analysis
13.  Cross-Linguistic Studies
14.  Cross-Linguistic Studies
15.  Cross-Linguistic Studies
事前学修・事後学修
/Preparation and
review lesson
Students are required to have read assigned readings before the class.
使用教材
/Teaching materials
No textbooks will be used. Reference materials will be distributed in class.

Szabolcsi, A. (2010). Quantification. Cambridge University Press.
Keenan, E., & Paperno, D. (Eds.). (2012). Handbook of Quantifiers in Natural language. Springer.
Paperno, D., & Keenan, E. L. (Eds.). (2017). Handbook of Quantifiers in Natural Language: Volume II. Springer.
成績評価の方法
/Grading
Homework assignments: 60%
Final paper/Final take-home exam: 30%
Cctive participation in discussion: 10%
成績評価の基準
/Grading Criteria
Homework assignments and the final take-home exam are graded based on your answers and your explanations for your answers. Answers without explanations will not be accepted. Carefully explain, in your own words, why and how you came up with your answer.

The final paper is graded based on how well you have understood the course content and how well you have applied what you have learned in the course.

Your final grade will be based on the total score:

A(秀): 100-90 
Excellent performance on the requirements of the class
B(優): 89-80
Good performance on the requirements of the class
C(良): 79-70
Acceptable performance on the requirements of the class
D(可): 69-60
Minimally acceptable performance on the requirements of the class
F(不可): 59-0
Unacceptable performance on the requirements of the class
履修上の注意事項
/Remarks
Lecture: Japanese
Readings/Materials: English
Tests/Quizzes/Assignments: Japanese and English
Discussions/Presentations/Other learning activities: Japanese and English
Communication with the instructor: Japanese and English
実務経験者による授業
/Courses conducted by the
ones with practical
experiences
該当しない
備考
/Notes
Office hours: TBA

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