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Automatic dubbing (AD) is among the machine translation (MT) use cases where translations should match a given length to allow for synchronicity between source and target speech.
“Synchronization in dubbing: A translation approach,”
Frederic Chaume, · 2004
Earlier work this paper cites.
“Semi-supervised model adaptation for statistical machine translation,”
Nicola Ueffing, Gholamreza Haffari, and Anoop Sarkar, · 2007
Earlier work this paper cites.
“Adam: A method for stochastic optimization,”
Diederik Kingma and Jimmy Ba, · 2014
Earlier work this paper cites.
“Improving neural machine translation models with monolingual data,”
Rico Sennrich, Barry Haddow, and Alexandra Birch, · 2015
Earlier work this paper cites.
“Controlling politeness in neural machine translation via side constraints,”
Rico Sennrich, Barry Haddow, and Alexandra Birch, · 2016
Earlier work this paper cites.
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al., · 2016
Earlier work this paper cites.
“MuST-C: a Multilingual Speech Translation Corpus,”
Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, and Marco Turchi, · 2017
Earlier work this paper cites.
“Controllable Abstractive Summarization,”
Angela Fan, David Grangier, and Michael Auli, · 2017
Earlier work this paper cites.
“Google’s multilingual neural machine translation system: Enabling zero-shot translation,”
Melvin Johnson, Mike Schuster, Quoc V Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, et al., · 2017
Earlier work this paper cites.
“Attention is all you need,”
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin, · 2017
Earlier work this paper cites.
“Understanding back-translation at scale,”
Sergey Edunov, Myle Ott, Michael Auli, and David Grangier, · 2018
Earlier work this paper cites.
“Improved Neural Machine Translation using Side Information,”
Cong Duy Vu Hoang, Gholamreza Haffari, and Trevor Cohn, · 2018
Cited alongside, same era.
“Improving zero-shot translation of low-resource languages,”
Surafel M Lakew, Quintino F Lotito, Matteo Negri, Marco Turchi, and Marcello Federico, · 2018
Cited alongside, same era.
“A call for clarity in reporting BLEU scores,”
Matt Post, · 2018
Cited alongside, same era.
“Prosodic Phrase Alignment for Machine Dubbing,”
Alp Öktem, Mireia Farrùs, and Antonio Bonafonte, · 2019
Cited alongside, same era.
“Integration of Dubbing Constraints into Machine Translation,”
Ashutosh Saboo and Timo Baumann, · 2019
Cited alongside, same era.
“Controlling the output length of neural machine translation,”
Surafel Melaku Lakew, Mattia Di Gangi, and Marcello Federico, · 2019
“Cross-lingual language model pretraining,”
Guillaume Lample and Alexis Conneau, · 2019
Later among the works it cites.
“From Speech-to-Speech Translation to Automatic Dubbing,”
Marcello Federico, Robert Enyedi, Roberto Barra-Chicote, Ritwik Giri, Umut Isik, Arvindh Krishnaswamy, and Hassan Sawaf, · 2020
Later among the works it cites.
“Evaluating and optimizing prosodic alignment for automatic dubbing,”
Marcello Federico, Yogesh Virkar, Robert Enyedi, and Roberto Barra-Chicote, · 2020
Later among the works it cites.
“Machine Translation with Unsupervised Length-Constraints,”
Jan Niehues, · 2020
Later among the works it cites.
“Controlling neural machine translation formality with synthetic supervision,”
Xing Niu and Marine Carpuat, · 2020
Later among the works it cites.
“Adapting end-to-end speech recognition for readable subtitles,”
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Cited alongside, same era.
“Revisiting self-training for neural sequence generation,”
Junxian He, Jiatao Gu, Jiajun Shen, and Marc’Aurelio Ranzato, · 2019
Cited alongside, same era.
Isaac Caswell, Ciprian Chelba, and David Grangier, · 2019
Cited alongside, same era.
“Positional Encoding to Control Output Sequence Length,”
Sho Takase and Naoaki Okazaki, · 2019
Cited alongside, same era.
“Controlling Text Complexity in Neural Machine Translation,”
Sweta Agrawal and Marine Carpuat, · 2019
Cited alongside, same era.
Danni Liu, Jan Niehues, and Gerasimos Spanakis, · 2020
Later among the works it cites.
“Is 42 the answer to everything in subtitling-oriented speech translation?,”
Alina Karakanta, Matteo Negri, and Marco Turch, · 2020
Later among the works it cites.
“Improving massively multilingual neural machine translation and zero-shot translation,”
Biao Zhang, Philip Williams, Ivan Titov, and Rico Sennrich, · 2020
Later among the works it cites.
“Machine translation verbosity control for automatic dubbing,”
Surafel Lakew, Marcello Federico, Yue Wang, Cuong Hoang, Yogesh Virkar, Roberto Barra-Chicote, and Robert Enyedi, · 2021
Closest in time.
“Improvements to prosodic alignment for automatic dubbing,”
Yogesh Virkar, Marcello Federico, Robert Enyedi, and Roberto Barra-Chicote, · 2021
Closest in time.