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What is Post-Editing

Transforming the Language Teaching Experience in the Age of AI
A process involved in machine translation in which the product obtained by translation of AI systems is checked and revised if necessary.
Published in Chapter:
Machine Translation Use in Language Learning: Learner Characteristics, Beliefs, and Ethical Concerns
Ümran Üstünbaş (Zonguldak Bülent Ecevit University, Turkey)
Copyright: © 2023 |Pages: 19
DOI: 10.4018/978-1-6684-9893-4.ch009
Abstract
In recent years, there has been an increasing development in promoting newer ways to integrate artificial intelligence (AI) into various digital tools, applications, and platforms. On the other hand, machine translation (MT), which is processed through AI, has already been in use for translation purposes for about three decades. Additionally, it has been a software frequently resorted for language learning purposes through free online platforms. The association between MT use and language learning tends to bring about several related issues such as ethical concerns. Diving into depths of these issues, this chapter presents a literature review on the key concepts related to MT use in language learning, which is supported by research findings and implications.
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Overview of Machine Translation Development
The revision process for a text that has been previously translated by an MT system.
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