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First-ever dataset to improve English-to-Malayalam machine translation fills critical gap for low-resource languages
The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...
If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...
Overview: AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...
Think, know, understand, remember. These are just a few of the mental verbs we use every day to describe what happens in a ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
UniNMT In this paper, we propose a new universal machine translation approach focusing on languages with a limited amount of parallel data. Our proposed approach utilizes a transfer-learning approach ...
Hear real-time translation in your headphones with Translate. The feature supports more than 70 languages. Android users can try it now, with iOS support coming next year. If you find yourself in a ...
Abstract: This study presents a novel translation framework by combining transfer learning and part-of-speech (POS) tagging methods to improve the performance of low-resource neural machine ...
At a time when Americans remain divided over hot button issues like artificial intelligence and policing, some say new technology is helping officers break down barriers and connect with their ...
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