Fetching the paper…
Reading the bibliography…
We present FRMT, a new dataset and evaluation benchmark for Few-shot Region-aware Machine Translation, a type of style-targeted translation.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
Earlier work this paper cites.
WIT3: Web inventory of transcribed and translated talks
Mauro Cettolo, Christian Girardi, and Marcello Federico. 2012 · 2012
Earlier work this paper cites.
Machine translation of Arabic dialects
Rabih Zbib, Erika Malchiodi, Jacob Devlin, David Stallard, Spyros Matsoukas, Richard Schwartz, John Makhoul, Omar F. Zaidan, and Chris Callison-Burch. 2012 · 2012
Earlier work this paper cites.
chrF: character n-gram F-score for automatic MT evaluation
Maja Popović. 2015 · 2015
Earlier work this paper cites.
Controlling politeness in neural machine translation via side constraints
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Earlier work this paper cites.
e-pact: esperto paraphrase aligned corpus of en-ep/bp translations
Anabela Barreiro and Cristina Mota. 2017 · 2017
Earlier work this paper cites.
Shakespearizing modern language using copy-enriched sequence to sequence models
Harsh Jhamtani, Varun Gangal, Eduard Hovy, and Eric Nyberg. 2017 · 2017
Earlier work this paper cites.
A study of style in machine translation: Controlling the formality of machine translation output
Xing Niu, Marianna Martindale, and Marine Carpuat. 2017 · 2017
Earlier work this paper cites.
Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2017 · 2017
Earlier work this paper cites.
A neural approach to language variety translation
Marta R. Costa-jussà, Marcos Zampieri, and Santanu Pal. 2018 · 2018
Earlier work this paper cites.
Machine translation of low-resource spoken dialects: Strategies for normalizing Swiss German
Pierre-Edouard Honnet, Andrei Popescu-Belis, Claudiu Musat, and Michael Baeriswyl. 2018 · 2018
Earlier work this paper cites.
Neural machine translation into language varieties
Surafel Melaku Lakew, Aliia Erofeeva, and Marcello Federico. 2018 · 2018
Earlier work this paper cites.
Delete, retrieve, generate: a simple approach to sentiment and style transfer
Juncen Li, Robin Jia, He He, and Percy Liang. 2018 · 2018
Cited alongside, same era.
OpenSubtitles2018: Statistical rescoring of sentence alignments in large, noisy parallel corpora
Pierre Lison, Jörg Tiedemann, and Milen Kouylekov. 2018 · 2018
Cited alongside, same era.
Extreme adaptation for personalized neural machine translation
Paul Michel and Graham Neubig. 2018 · 2018
Cited alongside, same era.
A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
Cited alongside, same era.
irr: Various coefficients of interrater reliability and agreement
Matthias Gamer, Jim Lemon, Ian Fellows, and Puspendra Singh. 2019 · 2019
Cited alongside, same era.
Unsupervised evaluation metrics and learning criteria for non-parallel textual transfer
Richard Yuanzhe Pang and Kevin Gimpel. 2019 · 2019
A review of human evaluation for style transfer
Eleftheria Briakou, Sweta Agrawal, Ke Zhang, Joel Tetreault, and Marine Carpuat. 2021 · 2021
Later among the works it cites.
Towards universality in multilingual text rewriting
Xavier Garcia, Noah Constant, Mandy Guo, and Orhan Firat. 2021 · 2021
Later among the works it cites.
Machine translation into low-resource language varieties
Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, and Yulia Tsvetkov. 2021 · 2021
Later among the works it cites.
TextSETTR: Few-shot text style extraction and tunable targeted restyling
Parker Riley, Noah Constant, Mandy Guo, Girish Kumar, David Uthus, and Zarana Parekh. 2021 · 2021
Later among the works it cites.
Towards personalised and document-level machine translation of dialogue
Sebastian Vincent. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Harnessing pre-trained neural networks with rules for formality style transfer
Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, and Wenhan Chao. 2019 · 2019
Cited alongside, same era.
Wiki-40b: Multilingual language model dataset
Mandy Guo, Zihang Dai, Denny Vrandecic, and Rami Al-Rfou. 2020 · 2020
Cited alongside, same era.
AraBench: Benchmarking dialectal Arabic-English machine translation
Hassan Sajjad, Ahmed Abdelali, Nadir Durrani, and Fahim Dalvi. 2020 · 2020
Cited alongside, same era.
BLEURT: Learning robust metrics for text generation
Thibault Sellam, Dipanjan Das, and Ankur Parikh. 2020 · 2020
Cited alongside, same era.
Unsupervised neural dialect translation with commonality and diversity modeling
Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Haihua Du, and Ben C.H. Ao. 2020 · 2020
Cited alongside, same era.
On variational learning of controllable representations for text without supervision
Peng Xu, Jackie Chi Kit Cheung, and Yanshuai Cao. 2020 · 2020
Cited alongside, same era.
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021 · 2021
Later among the works it cites.
Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects . Association for Computational Linguistics, Kiyv, Ukraine
Marcos Zampieri, Preslav Nakov, Nikola Ljubešić, Jörg Tiedemann, Yves Scherrer, and Tommi Jauhiainen, editors. 2021 · 2021
Later among the works it cites.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
Closest in time.
Using natural language prompts for machine translation
Xavier Garcia and Orhan Firat. 2022 · 2022
Closest in time.
Text style transfer: A review and experimental evaluation
Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, and Aston Zhang. 2022 · 2022
Closest in time.
Multitask prompted training enables zero-shot task generalization
Victor Sanh, Albert Webson, Colin Raffel, Stephen Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, and Alexander M Rush. 2022 · 2022
Closest in time.
Aditya Siddhant, Ankur Bapna, Orhan Firat, Yuan Cao, Mia Xu Chen, Isaac Caswell, and Xavier Garcia. 2022 · 2022
Closest in time.
Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, and Quoc V Le. 2022 · 2022
Closest in time.