Real-time Translation
Real-Time Translation is a translation framework that enables immediate conversion of audiovisual content across languages with minimal latency, distinguishing itself from batch or offline translation methods by synchronizing linguistic output with the temporal flow of streaming media.
70
Publications
2.4K
Citations
234
Authors
72
Institutions
Publications per year
2017–2026
31
70
Learning to Translate in Real-time with Neural Machine Translation
Jiatao Gu, Graham Neubig, Kyunghyun Cho et al. · 2017 · 189 citations · Full text
Humanities, Translation Studies, Corpus-based Translation Studies +7
SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation
Xutai Ma, Mohammad Javad Dousti, Changhan Wang et al. · 2020 · 70 citations · Full text
Computing, Computer Science, Natural Language Processing +12
1–5 of 70
234
7
h-index
4
h-index
IBM Research - Thomas J. Watson Research Center, United States
4 publications · 77 citations
4
h-index
4
h-index
3
h-index
1–5 of 234
72
Carnegie Mellon University
Pittsburgh, United States
4 h-index
10 publications
525 citations

Pontifícia Universidade Católica do Rio Grande do Sul
Porto Alegre, Brazil
3 h-index
4 publications
90 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
3 h-index
11 publications
201 citations
AT&T (United States)
Bedminster, United States
3 h-index
11 publications
495 citations
University of Bari Aldo Moro
Bari, Italy
3 h-index
6 publications
132 citations
IBM (United States)
Armonk, United States
3 h-index
9 publications
172 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
230 citations
Yonsei University
Seoul, South Korea
2 h-index
4 publications
118 citations
1–8 of 72
2 publications · 54 citations
2
h-index
JASIS · 2 publications · 64 citations
2
h-index
1 publications · 22 citations
1
h-index
1 publications · 24 citations
1
h-index
1 publications · 60 citations
1
h-index
1–5