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OpenAI releases GPT-5, a potential barometer for whether artificial intelligence hype is justified Times West Virginian Source link
Like many other machine learning applications, neural machine translation (NMT) benefits from overparameterized deep neural models — models so large that they would seem to risk...
Dive into Deep Learning (D2L.ai) is an open-source textbook that makes deep learning accessible to everyone. It features interactive Jupyter notebooks with self-contained code in PyTorch,...
Neural machine translation (NMT) systems typically return a single translation for each input text segment. This means that when the input segment is ambiguous, the model...
In recent years, machine translation systems have become much more accurate and fluent. As their use expands, it has become increasingly important to ensure that they...
Earlier this year, we released MASSIVE, a million-record natural-language-understanding (NLU) dataset composed of human-translated utterances spanning 51 languages, 18 domains, 60 intents, and 55 slot types....
Nowadays, speech technology permeates our everyday life. From smart-home devices to in-car navigation systems to chatting with friends on the other side of the planet, countless...
In a recent shared task at the International Conference on Spoken Language Translation (IWSLT), titled Formality Control for Machine Translation, the formality-controlled translation system developed by...
Neural machine translation systems are often optimized to perform well for specific text genres or domains, such as newspaper articles, user manuals, or customer support chats. Multidomain...
In recent years, mitigating bias in machine learning models has become a major topic of research, and that’s as true in natural-language processing as in any...