Topic
The Influence and Application of AI Translators on
2024.04.01
AI technology is advancing rapidly and transforming the way we work. These technological developments are affecting many areas of our lives, and the publishing industry is no exception. The use of Neural Machine Translation (NMT), such as Google Translate, which emerged in 2017, as well as Naver’s Papago, DeepL, and Microsoft Translator, is growing dramatically, and the publishing industry is joining this technological trend. Its use is expanding from simple business emails to book introductions, copyright marketing materials, subtitles for book trailers, speech-to-text technology, and more. This means that a fundamental shift in working tools and business structures is taking place. This article examines the influence of AI on the publishing industry from an editor’s perspective.
Yoon-Seo, an 8-year editor at a publishing house near Hongdae University in Seoul, the capital of Korea, starts her day early in the morning. She dives into her research, scouring various resources to find books that will appeal to young readers. Sitting at her computer with a cup of coffee in hand, she first browses Amazon to check out the latest trends in children’s books. Among the books published in various languages, English and French titles are particularly popular among Korean children these days. While she can read and write English to some extent, she knows very little French. But, this language barrier is not a big problem, thanks to the evolution of AI translators and the availability of experts (professional translators) when needed.
Low cost, high performance
AI translators boast extraordinary efficiency. They are incredibly fast and cheap, even when compared to human translators. With some popular free services, you can translate mass amounts of text in a few seconds to minutes. The efficiency is even greater when it comes to the fast production of publications and the research phase of rights import and export. It became convenient to find foreign sources, get a general idea of the content, read reader reviews, and make decisions. The time spent on review has been dramatically cut down.
The advantages are not limited to the fast speed and efficiency. When properly used, translators can help small and medium-sized publishers knock on doors in global markets that they would otherwise have given up on due to lack of resources. It opens the door to reviewing and producing publications in multiple languages. Small publishers used to have limited opportunities to export their works, producing once or twice a year and pitching them to agencies, but now they can organize and distribute a list of titles every month. Compared to the traditional process of translating abstracts, this significantly saves time and money, while breaking down language barriers to reach more international publishers.
Neural Machine Translation (NMT) opens a new horizon
Machine translation has a long history, starting with code-breaking in the 1950s, moving through the 2nd generation of statistical machine translation, the 3rd generation of neural network-based translation, and now the 4th generation of transformer models. However, it is only since 2017 when AI translation was introduced, that its potential to break down language barriers between countries and facilitate exchange and communication has flourished. Neural Machine Translation (NMT) is a form of translation technology based on AI and deep learning that processes the entire sentence as a unit to understand the context and provide a more natural translation. By understanding the meaning of the entire sentence instead of translating words or phrases individually, it is able to produce more accurate and fluent translations.
Balanced coexistence
Q.
How much do you use AI translators (Google Translator, Papago, DeepL, ChatGPT, etc.) when doing market research for the import of copyrights?
(Based on replies from 113 editors. Survey conducted in March, 2024)
Experts in the publishing industry generally agree that the widespread use of AI translators is bringing positive changes to the market. However, due to the lack of accuracy and contextual understanding, a human expert’s review is essential when drafting copyright contracts and making important communications. To address these issues, Machine Translation Post-Editing (MTPE) is becoming more common.
Written by Kai Song (Editor-in-chief at Hanbit Media)
Kai Song (Editor-in-chief at Hanbit Media) #AI Translators#AI#Publishing Industry#Copyrights |
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