Artificial Intelligence and Language Translation in Scientific Publishing
Sarah Frances Gordon · Science Editor · 2024
Introduction Language translation is an important part of the scholarly and scientific publishing profession, as it allows knowledge to be communicated across the globe, transcending language barriers. Through translating research texts, authors can expand their readership and ensure that valuable scientific knowledge is widely accessible. Translation services are key to the scholarly and scientific research community because they help improve global collaboration. However, with the recent introduction of artificial intelligence (AI), the landscape of language translation has changed. Neural Machine Translation Neural machine translation (NMT) systems such as Google Translate, DeepL Translator, and Microsoft Translator are just a few of the NMT systems that translation companies and professionals often use. NMT aims to create algorithms that can translate text between different languages. Neural networks, which are computer systems inspired by the human brain, constitute the foundation of NMT models. These models learn to provide translations by spotting patterns in the massive volumes of text in several languages they are trained on. Another key feature of NMT models is that text translation can be learned without the need of mathematical models or explicit rules. However, more recently, ChatGPT has become one of the most common AI tools used by professional translators, as it has an easy-to-use interface and is suited to both individual and wide-scale use. AI Changes How We Work as Translators With the technological advances of AI in translation, many professional translators perceive AI and automation as threats to the profession and distrust the recent advances in AI.1,2 The […]