This is an AI translated post.
Galaxy S24 Real-time Translation, Neural Machine Translation (NMT)
- Writing language: Korean
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Base country: All countries
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- Information Technology
0000-00-00 00:00:00
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Summarized by durumis AI
- The latest AI translation technology is rapidly developing based on Neural Machine Translation (NMT) technology, making it possible to translate not only text but also voice and video, enabling real-time and multimodal translation.
- NMT translates entire sentences, analyzing the context and relationships between words within the sentence to understand the precise meaning, and provides multilingual voice translation capabilities that can recognize and translate over 100 languages.
- The advancement of AI translation technology is breaking down language barriers, and will be utilized in various fields in the global era, playing a role in connecting the world as one.
The latest AI translation technology is breaking down language barriers and making global communication more accessible. Based on Neural Machine Translation (NMT) technology, the rapidly advancing translation technology is rapidly evolving beyond simple text to encompass audio and video, enabling real-time interpretation and multimodal translation.
Language is no longer a barrier
In the past, language was a high barrier separating cultures and races. However, with the advancement of AI technology, that wall is gradually crumbling. By scanning a menu with your smartphone camera, you can instantly translate foreign menus, and with a single app, you can translate anywhere in the world.
At the heart of this innovative AI translation technology lies 'Neural Machine Translation (NMT)' technology. NMT uses deep learning to translate entire sentences. Unlike traditional statistics-based translation methods, it analyzes the context and relationships of words within a sentence to understand the precise meaning.
NMT Principle: Understanding Context to Improve Accuracy
The NMT translation process is divided into 'encoder' and 'decoder'. In the encoder, the input sentence is converted into unique vectors for each word, and contextual information is extracted. In the subsequent decoder stage, the generated vectors are weighted and translated one by one.
For example, the word 'night' is interpreted in context with other words in the sentence to determine if it means 'night and day (time)' or 'eating night'. Understanding context to accurately convey meaning is the key to NMT.
Multilingual Voice Translation, Real-time Interpretation Possible
NMT technology is expanding its reach beyond text translation to encompass audio and video translation. Meta's 'Seamless M4T' model can recognize and translate over 100 languages. Google's 'Universal Speech Model' can translate the voices of over 400 languages.
Based on this technology, Samsung Electronics has incorporated real-time translation functionality into the Galaxy S24, which translates the other person's voice into text. SK Telecom has also launched 'A.dot', a real-time interpretation service during phone calls, and AI startups are showcasing multilingual real-time interpretation technology for online video conferencing.
As the barriers of culture and language disappear, the importance of translation technology is greater than ever. In a globalized era, AI translation technology, which is rapidly evolving, will be utilized in a wider range of areas, connecting the world as one.
