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

Reflections on Machine Scoring in Business English Writing under the Background of Big Data

Authors
Wenyi Ding*
Teaching Affairs Department, Wuhan City Polytechnic, Wuhan, China
*Corresponding author. Email: 1287958075@qq.com
Corresponding Author
Wenyi Ding
Available Online 2 June 2022.
DOI
10.2991/ahis.k.220601.026How to use a DOI?
Keywords
The era of big data; Business English writing; Machine scoring
Abstract

In the era of big data, information exchange is more convenient and faster, and its frequency increases rapidly. As a result, the demand for language services increases, and the importance of business English gradually highlights. With the rapid growth of business English learning, there is a great demand to cultivate talents in English writing and business. In the era of big data, corpus-based writing software has begun to subvert the traditional teaching model of writing. This paper will focus on the research and thinking of the automated scoring system, which is helpful to make more effective use of the automated scoring system to score students’ English writing and improve their business English writing ability.

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
10.2991/ahis.k.220601.026How 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  - Wenyi Ding
PY  - 2022
DA  - 2022/06/02
TI  - Reflections on Machine Scoring in Business English Writing under the Background of Big Data
BT  - Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
PB  - Atlantis Press
SP  - 132
EP  - 135
SN  - 2589-4919
UR  - https://doi.org/10.2991/ahis.k.220601.026
DO  - 10.2991/ahis.k.220601.026
ID  - Ding2022
ER  -