1 |
Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Unsupervised Translation of German--Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Generic resources are what you need: Style transfer tasks without task-specific parallel training data ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
A set of recommendations for assessing human-machine parity in language translation
|
|
|
|
In: Läubli, Samuel orcid:0000-0001-5362-4106 , Castilho, Sheila orcid:0000-0002-8416-6555 , Neubig, Graham, Sennrich, Rico orcid:0000-0002-1438-4741 , Shen, Qinlan and Toral, Antonio orcid:0000-0003-2357-2960 (2020) A set of recommendations for assessing human-machine parity in language translation. Journal of Artificial Intelligence Research, 67 . pp. 653-672. ISSN 1076-9757 (2020)
|
|
BASE
|
|
Show details
|
|
5 |
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation ...
|
|
|
|
Abstract:
The quality of machine translation has increased remarkably over the past years, to the degree that it was found to be indistinguishable from professional human translation in a number of empirical investigations. We reassess Hassan et al.'s 2018 investigation into Chinese to English news translation, showing that the finding of human-machine parity was owed to weaknesses in the evaluation design - which is currently considered best practice in the field. We show that the professional human translations contained significantly fewer errors, and that perceived quality in human evaluation depends on the choice of raters, the availability of linguistic context, and the creation of reference translations. Our results call for revisiting current best practices to assess strong machine translation systems in general and human-machine parity in particular, for which we offer a set of recommendations based on our empirical findings. ...
|
|
Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.2004.01694 https://arxiv.org/abs/2004.01694
|
|
BASE
|
|
Hide details
|
|
8 |
Post-editing effort of a novel with statistical and neural machine translation
|
|
|
|
In: Toral, Antonio, Wieling, Martijn and Way, Andy orcid:0000-0001-5736-5930 (2018) Post-editing effort of a novel with statistical and neural machine translation. Frontiers in Digital Humanities, 5 (9). pp. 1-11. ISSN 2297-2668 (2018)
|
|
BASE
|
|
Show details
|
|
9 |
What level of quality can neural machine translation attain on literary text?
|
|
|
|
In: Toral, Antonio orcid:0000-0003-2357-2960 and Way, Andy orcid:0000-0001-5736-5930 (2018) What level of quality can neural machine translation attain on literary text? In: Moorkens, Joss orcid:0000-0003-4864-5986 , Castilho, Sheila orcid:0000-0002-8416-6555 , Gaspari, Federico orcid:0000-0003-3808-8418 and Doherty, S, (eds.) Translation Quality Assessment: From Principles to Practice. Machine Translation: Technologies and Applications book series (MATRA), 1 . Springer, Berlin/Heidelberg, 263 -287. ISBN 978-3-319-91240-0 (2018)
|
|
BASE
|
|
Show details
|
|
10 |
Post-editing effort of a novel with statistical and neural machine translation
|
|
|
|
In: Toral, Antonio orcid:0000-0003-2357-2960 , Wieling, Martijn orcid:0000-0003-0434-1526 and Way, Andy orcid:0000-0001-5736-5930 (2018) Post-editing effort of a novel with statistical and neural machine translation. Frontiers in Digital Humanities, 5 . ISSN 2297-2668 (2018)
|
|
BASE
|
|
Show details
|
|
11 |
Attaining the unattainable? Reassessing claims of human parity in neural machine translation
|
|
|
|
In: Toral, Antonio orcid:0000-0003-2357-2960 , Castilho, Sheila orcid:0000-0002-8416-6555 , Hu, Ke and Way, Andy orcid:0000-0001-5736-5930 (2018) Attaining the unattainable? Reassessing claims of human parity in neural machine translation. In: Third Conference on Machine Translation (WMT), 31 Oct- 1 Nov 2018, Brussels, Belgium. ISBN 978-1-948087-81-0 (2018)
|
|
BASE
|
|
Show details
|
|
12 |
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Quantitative Fine-grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian
|
|
|
|
In: Articles (2018)
|
|
BASE
|
|
Show details
|
|
14 |
Fine-grained human evaluation of neural versus phrase-based machine translation ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation
|
|
|
|
In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 121-132 (2017) (2017)
|
|
BASE
|
|
Show details
|
|
17 |
CloudLM: a cloud-based language model for machine translation
|
|
|
|
In: Ferrández-Tordera, Jorge, Ortiz-Rojas, Sergio and Toral, Antonio orcid:0000-0003-2357-2960 (2016) CloudLM: a cloud-based language model for machine translation. Prague Bulletin of Mathematical Linguistics (105). pp. 51-61. ISSN 1804-0462 (2016)
|
|
BASE
|
|
Show details
|
|
|
|