Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)

A research into the Application of Machine Translation in the Translation Teaching

Authors
Jin Liu
Corresponding Author
Jin Liu
Available Online December 2017.
DOI
https://doi.org/10.2991/anit-17.2018.6How to use a DOI?
Keywords
Machine Translation, Translation Teaching, Cognition of the Translation.
Abstract
This paper aims to discuss the advantages and disadvantages of machine translation, explore the teaching methods based on the application of machine translation. It will give a teaching case to explain how essential for a teacher to grasp the machine translation as a tool. The paper will compare the translations between machine translation and students' translation under different translation skills in order to train student's translation ability. After the teaching experiment, 30 students will be involved in this survey. It comes to the conclusion that machine translation teaching can improve students' cognition of the bilingual structure and enhance students' recognition of the deep culture difference between two languages.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
978-94-6252-447-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/anit-17.2018.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jin Liu
PY  - 2017/12
DA  - 2017/12
TI  - A research into the Application of Machine Translation in the Translation Teaching
BT  - 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.6
DO  - https://doi.org/10.2991/anit-17.2018.6
ID  - Liu2017/12
ER  -