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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....