Improving Efficiency and Accuracy in English Translation Learning: Investigating a Semantic Analysis Correction Algorithm-Reference-Cited by-同舟云学术

Improving Efficiency and Accuracy in English Translation Learning: Investigating a Semantic Analysis Correction Algorithm

Published:2023-06-05 Issue:1 Volume:37 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Cao Lingmei¹,Fu Junru²

Affiliation:

1. Department of Foreign Languages, Shanghai University of Finance and Economics Zhejiang College, Jinhua, China

2. Department of Economics and Information Management, Shanghai University of Finance and Economics Zhejiang College, Jinhua, China

Funder

specific grant

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2219945

Reference19 articles.

1. Darren, A., J. Kiniry Stephen, M. Yordanova Martina, V. Baranov Pavel, and P. Morrissey John. 2022. Development of a ribosome profiling protocol to study translation in Kluyveromyces Marxianus.

2. Reception Studies and Audiovisual Translation

3. A Study on Title Translation of Chinese Films and TV Plays from the Perspective of Skopos Theory

4. Clinical learning environment, supervision and nurse teacher (CLES+T) scale: Translation and validation of the Arabic version

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1. Automatic English Grammar Correction Tool using Recurrent Neural Network;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

2. Design of Intelligent Recognition English Translation Model based on Kmeans Algorithm;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

3. The Impact of Artificial Intelligence on Language Translation: A Review;IEEE Access;2024