2020
EMNLP
EMNLP 2020
Simultaneous Translation
Abstract
AbstractSimultaneous translation, which performs translation concurrently with the source speech, is widely useful in many scenarios such as international conferences, negotiations, press releases, legal proceedings, and medicine. This problem has long been considered one of the hardest problems in AI and one of its holy grails. Recently, with rapid improvements in machine translation, speech recognition, and speech synthesis, there has been exciting progress towards simultaneous translation. This tutorial will focus on the design and evaluation of policies for simultaneous translation, to leave attendees with a deep technical understanding of the history, the recent advances, and the remaining challenges in this field.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Natural Language Processing and Speech & Audio
🧭
Keyword Pioneer
— policy design
🐣
Hot Topic Early Bird
— simultaneous translation
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Natural Language Processing > Applications > Machine Translation
Speech & Audio > Recognition > Speech Recognition
Speech & Audio > Synthesis > Speech Enhancement
Natural Language Processing > Generation > Machine Translation
Artificial Intelligence > Core AI > Speech Processing
Speech & Audio > Recognition > Speech Translation