Compared to SMT, NMT can train multiple features jointly and does not need prior domain knowledge, enabling zero-shot translation. In addition to higher BLEU score and better sentence structure, NMT can also help reduce morphology errors, syntax errors, and word order errors of SMT.
Hosted annually in the United States, the Computer Vision and Pattern Recognition Conference received 2,620 submissions, accepted 783 papers, attracted 127 sponsors with $859,000 in sponsorship and close to 5,000 attendees.
We explore top-notch Swiss AI facilities: starting with deep learning and neural network research at IDSIA in Lugano, to interdisciplinary research at École Polytechnique Fédérale de Lausanne and University of Basel, and ending with robotics innovations at ETH in Zurich and University of Zurich.
Computer science and machine learning scholars are increasingly interested in languages, and natural language processing has shown great progress as a result.
“To pretend science is morally neutral, and that you can develop anything and have clean hands because it is someone else using it to kill people is extremely naive, and scientists should know that.” – UC Berkeley’s Dr. Stuart Russell
