Fetching the paper…
Reading the bibliography…
Current end-to-end approaches to Spoken Language Translation (SLT) rely on limited training resources, especially for multilingual settings.
“Bleu: a method for automatic evaluation of machine translation,”
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu, · 2002
Earlier work this paper cites.
“Europarl: A Parallel Corpus for Statistical Machine Translation,”
Philipp Koehn, · 2005
Earlier work this paper cites.
“Moses: Open source toolkit for statistical machine translation,”
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, et al., · 2007
Earlier work this paper cites.
“Findings of the 2013 Workshop on Statistical Machine Translation,”
Ondřej Bojar, Christian Buck, Chris Callison-Burch, Christian Federmann, Barry Haddow, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Specia, · 2013
Earlier work this paper cites.
“Neural machine translation of rare words with subword units,”
Rico Sennrich, Barry Haddow, and Alexandra Birch, · 2016
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, Łukasz Kaiser, and Illia Polosukhin, · 2017
Earlier work this paper cites.
“Speech-transformer: A no-recurrence sequence-to-sequence model for speech recognition,”
L. Dong, S. Xu, and B. Xu, · 2018
Earlier work this paper cites.
“Self-attentional acoustic models,”
Matthias Sperber, Jan Niehues, Graham Neubig, Sebastian Stüker, and Alex Waibel, · 2018
Cited alongside, same era.
“Umap: Uniform manifold approximation and projection,”
Leland McInnes, John Healy, Nathaniel Saul, and Lukas Grossberger, · 2018
Cited alongside, same era.
“Enhancing transformer for end-to-end speech-to-text translation,”
Mattia Antonino Di Gangi, Matteo Negri, Roldano Cattoni, Roberto Dessi, and Marco Turchi, · 2019
Cited alongside, same era.
“Multilingual end-to-end speech translation,”
H. Inaguma, K. Duh, T. Kawahara, and S. Watanabe, · 2019
Cited alongside, same era.
“Simple, Scalable Adaptation for Neural Machine Translation,”
Ankur Bapna, Naveen Arivazhagan, and Orhan Firat, · 2019
Cited alongside, same era.
“One-to-many multilingual end-to-end speech translation,”
“Large-scale multilingual speech recognition with a streaming end-to-end model,”
Anjuli Kannan, Arindrima Datta, Tara N. Sainath, Eugene Weinstein, Bhuvana Ramabhadran, Yonghui Wu, Ankur Bapna, Zhifeng Chen, and Seungji Lee, · 2019
Later among the works it cites.
“Multilingual, multi-scale and multi-layer visualization of intermediate representations,”
Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, and Pere-Pau Vázquez, · 2019
Later among the works it cites.
“Covost: A diverse multilingual speech-to-text translation corpus,”
Changhan Wang, Juan Miguel Pino, Anne Wu, and Jiatao Gu, · 2020
Closest in time.
Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, and Mikel Artetxe, · 2020
Closest in time.
“Multilingual speech translation with efficient finetuning of pretrained models,”
Xian Li, Changhan Wang, Yun Tang, Chau Tran, Yuqing Tang, Juan Pino, Alexei Baevski, Alexis Conneau, and Michael Auli, · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
M. A. Di Gangi, M. Negri, and M. Turchi, · 2019
Cited alongside, same era.
“Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions,”
Awni Hannun, Ann Lee, Qiantong Xu, and Ronan Collobert, · 2019
Cited alongside, same era.
“On the cross-lingual transferability of monolingual representations,”
Mikel Artetxe, Sebastian Ruder, and Dani Yogatama, · 2019
Cited alongside, same era.
Closest in time.
“The TALP-UPC system description for WMT20 news translation task: Multilingual adaptation for low resource MT,”
Carlos Escolano, Marta R. Costa-jussà, and José A. R. Fonollosa, · 2020
Closest in time.
“From bilingual to multilingual neural-based machine translation by incremental training,”
Carlos Escolano, Marta R Costa-Jussà, and José AR Fonollosa, · 2021
Closest in time.