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A Teaching Framework Based on Big Data of Students’ Learning Behaviors: A Case Study of Academic Performance Prediction Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Improving the Education of Computer-Aided Translation Technology Based on Artificial Intelligence

Author : Yueying Shen

Published in: Frontier Computing

Publisher: Springer Nature Singapore

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Abstract

This paper describes the process of improving computer-aided translation technology based on artificial intelligence. The first step is to design a system that can recognize and classify text, which is called “text classification”. The second step is to develop a method for translating sentences into other language, which is called “sentence translation”. By using these two steps as independent modules, we can improve them separately or combine them together in various ways. In this paper, we describe how to improve both of these steps by combining them together and show the results obtained by applying our method to real-world problems.

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Metadata
Title
Improving the Education of Computer-Aided Translation Technology Based on Artificial Intelligence
Author
Yueying Shen
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Frontier Computing

Print ISBN: 978-981-9914-27-2

Electronic ISBN: 978-981-9914-28-9

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-1428-9_169