2022
ACL
ACL 2022
The AISP-SJTU Simultaneous Translation System for IWSLT 2022
Abstract
AbstractThis paper describes AISP-SJTU’s submissions for the IWSLT 2022 Simultaneous Translation task. We participate in the text-to-text and speech-to-text simultaneous translation from English to Mandarin Chinese. The training of the CAAT is improved by training across multiple values of right context window size, which achieves good online performance without setting a prior right context window size for training. For speech-to-text task, the best model we submitted achieves 25.87, 26.21, 26.45 BLEU in low, medium and high regimes on tst-COMMON, corresponding to 27.94, 28.31, 28.43 BLEU in text-to-text task.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning and Natural Language Processing and Speech & Audio
🧭
Keyword Pioneer
— right context window
🐣
Hot Topic Early Bird
— context window
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio
Authors
Qinpei Zhu
,
Renshou Wu
,
Guangfeng Liu
,
Xinyu Zhu
,
Xingyu Chen
,
Yang Zhou
,
Qingliang Miao
,
Rui Wang
,
Kai Yu
Topics
Artificial Intelligence > Core AI > Multi-Agent Systems
Machine Learning > Optimization & Theory > Optimization
Machine Learning > Application Areas > Efficient Computing
Natural Language Processing > Applications > Machine Translation
Deep Learning > Models > Transformers
Speech & Audio > Recognition > Speech Translation