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開講年度 2022年度 登録コード G2B45305
授業名 Translating with Computersゼミ
Translating with Computers
担当教員 BRIERLEY MARK ALAN 副担当 　
講義期間 前期 曜日・時限 木２ 講義室 共通教育３１２演習室 単位数 2
対象学生 全 授業形態 演習 備考 　
授業で学べる「テーマ」 多文化協働
授業で扱う「志向」（本学で重点的に育成するマインド） グローバル、環境
全学横断特別教育プログラム ローカル･イノベーター養成コース、環境マインド実践人材養成コース、ストラテジー･デザイン人材養成コース、ライフクリエイター養成コース、グローバルコア人材養成コース ・ ＢＡＳＩＣ(国際理解)
注意)「曜日・時限」「講義室」等は変更される場合がありますので、「キャンパス情報システム」や「掲示」等で確認してください。
(1)授業のねらい授業で得られる「学位授与の方針」要素
・【2020年度以降ｶﾘｷｭﾗﾑ対象】学士の称号にふさわしい基礎学力と専門的学力
・【2020年度以降ｶﾘｷｭﾗﾑ対象】的確に情報を収集し，理解し，発信する力
【授業の達成目標】
・How to use translation software to enhance rather than detract from learning.
・Ability to gather, understand, and disseminate information accurately.
【授業のねらい】
The origins of translation software go back to the earliest developments of electronic computers in the 1940s, but it is only since 2020 that high quality machine translation has become widely available. This presents challenges for language students and teachers. In the short term, how should students and teachers use this technology? In the long term, what are the goals of language education when technology is likely to take over many of the traditional functional skills? A machine translation follows.
以下は機械翻訳です。 翻訳ソフトウェアの起源は、1940年代の電子コンピュータの初期の開発にまでさかのぼりますが、高品質の機械翻訳が広く利用できるようになったのは2020年以降のことです。このことは、語学学習者や教師にとって課題となっています。短期的には、学生や教師はこの技術をどのように使うべきでしょうか？長期的には、テクノロジーが伝統的な機能的スキルの多くを引き継ぐ可能性が高いとき、言語教育の目標は何でしょうか？
(2)授業の概要In this course we will investigate the history and the state of the art of machine translation. First we will explore what we mean by "language", "learning" and "translation", while looking at the following questions:
How should students use machine translation to improve their language skills?
How should teachers instruct students?
How should teachers evaluate students' work?
In light of continually improving machine translation, what are the goals of language education?
(3)授業のキーワード機械翻訳　翻訳　人工知能　グループワーク　レポートのフィードバック
(4)授業計画1. Orientation
2. Theories of language: What are languages? How do they work?
3. A brief history of translation
4. A brief history of writing
5. Machine learning and artificial intelligence
6. Evaluation of translation software
7. Phonology, etymology and neologisms
8. Even monkeys fall from trees: Proverbs and idiom
9. English in Japan and English in Japanese
10. Languages in the EU
11. Theories of translation: How to get from L1 to L2
12. Approaches to machine translation: Substitutions, statistics and neural networks
13. Translating humour
14. Presentations
15. Summary. Class feedback questionnaire.

This plan may change to meet the needs of the class
(5)成績評価の方法Students must complete weekly online activities in eALPs to pass this course. Students will be expected to participate in class and give presentations.
Online quizzes and forums: 80%
Writing assignments: 10%
Presentations: 10%
(6)成績評価の基準The university policy states that students need 60% to pass, 70% for a B, 80% for an A, and 90% for an S.
(7)事前事後学習の内容Additional information will be made available on eALPS.
(8)履修上の注意This class will focus on translation between English and Japanese. To evaluate translation, students need to reach a high proficiency in English, and students will only get better at English by using English.
While we will use some Japanese in class, the teacher will use English as the primary language, and expect students to use English too.
Grade will depend on online activity.
(9)質問,相談への対応I will be happy to answer questions outside class. To arrange an appointment,
please contact mark2@shinshu-u.ac.jp.
【教科書】Online materials.
【参考書】Bellos, David, Is That a Fish in Your Ear? The Amazing Adventure of Translation,
9780241954300, London: Penguin, 2012, \1636

Eco, Umberto, Mouse or Rat? Translation as Negotiation, 9780753817988, London: Weidenfield & Nicholson, 2003, \1405

Eco, Umberto, Experiences in Translation. Translated by Alastair McEwen, 9780802096142, Toronto: University of Toronto Press, 2001, \2813
【添付ファイル】 なし

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