Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)

Research on Translation Corpus Building with the Assistance of AI

Authors
Xiaoqing Hou*
College English Teaching Department, Zao Zhuang University, Zaozhuang, China
*Corresponding author. Email: 236913006@qq.com
Corresponding Author
Xiaoqing Hou
Available Online 2 June 2022.
DOI
https://doi.org/10.2991/ahis.k.220601.027How to use a DOI?
Keywords
AI; Translation Corpus; Translation Teaching
Abstract

The quality of machine translation depends on the corpus available for it to learn from. With the development of AI, the translation corpus is now the key to realize Intelligent translation and scenario-based translation. The data on the Internet, data of the enterprise, user-generated data, machine-generated data, all of which can be the sources of AI-Assisted translation corpus data. Types of these data are diversified. There are term data, text data, unstructured data, and knowledge graph. AI-Assisted translation corpus construction can collect data in the following four modes: open-source data based on the third-party, corpus-sharing mode based on crowdsourcing translation, self-learning mode based on machine, collaborative mode based on human-machine cooperation. In the future, corpus-based translation teaching will be an important part of intelligent translation.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 June 2022
ISBN
978-94-6239-581-7
ISSN
2589-4919
DOI
https://doi.org/10.2991/ahis.k.220601.027How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Xiaoqing Hou
PY  - 2022
DA  - 2022/06/02
TI  - Research on Translation Corpus Building with the Assistance of AI
BT  - Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
PB  - Atlantis Press
SP  - 136
EP  - 140
SN  - 2589-4919
UR  - https://doi.org/10.2991/ahis.k.220601.027
DO  - https://doi.org/10.2991/ahis.k.220601.027
ID  - Hou2022
ER  -