DE eng

Search in the Catalogues and Directories

Page: 1 2
Hits 1 – 20 of 29

1
Towards Explainable Evaluation Metrics for Natural Language Generation ...
BASE
Show details
2
Pushing the right buttons: adversarial evaluation of quality estimation
In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
BASE
Show details
3
Translation Error Detection as Rationale Extraction ...
BASE
Show details
4
Knowledge Distillation for Quality Estimation ...
BASE
Show details
5
Continual Quality Estimation with Online Bayesian Meta-Learning ...
BASE
Show details
6
Knowledge Distillation for Quality Estimation ...
BASE
Show details
7
Findings of the WMT 2021 Shared Task on Quality Estimation ...
BASE
Show details
8
Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation ...
BASE
Show details
9
Knowledge distillation for quality estimation
Gajbhiye, Amit; Fomicheva, Marina; Alva-Manchego, Fernando. - : Association for Computational Linguistics, 2021
BASE
Show details
10
deepQuest-py: large and distilled models for quality estimation
Alva-Manchego, Fernando; Obamuyide, Abiola; Gajbhiye, Amit. - : Association for Computational Linguistics, 2021
BASE
Show details
11
Findings of the WMT 2021 shared task on quality estimation
In: 689 ; 730 (2021)
BASE
Show details
12
deepQuest-py: large and distilled models for quality estimation
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations ; 382 ; 389 (2021)
BASE
Show details
13
Backtranslation feedback improves user confidence in MT, not quality
Obregón, Mateo; Fomicheva, Marina; Novák, Michal. - : Association for Computational Linguistics, 2021
BASE
Show details
14
Knowledge distillation for quality estimation
In: 5091 ; 5099 (2021)
BASE
Show details
15
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ...
BASE
Show details
16
Unsupervised quality estimation for neural machine translation
In: 8 ; 539 ; 555 (2020)
BASE
Show details
17
An exploratory study on multilingual quality estimation
In: 366 ; 377 (2020)
BASE
Show details
18
BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task
In: 1010 ; 1017 (2020)
Abstract: © 2020 The Authors. Published by Association for Computational Linguistics. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://www.aclweb.org/anthology/2020.wmt-1.116/ ; This paper presents our submission to the WMT2020 Shared Task on Quality Estimation (QE). We participate in Task and Task 2 focusing on sentence-level prediction. We explore (a) a black-box approach to QE based on pre-trained representations; and (b) glass-box approaches that leverage various indicators that can be extracted from the neural MT systems. In addition to training a feature-based regression model using glass-box quality indicators, we also test whether they can be used to predict MT quality directly with no supervision. We assess our systems in a multi-lingual setting and show that both types of approaches generalise well across languages. Our black-box QE models tied for the winning submission in four out of seven language pairs inTask 1, thus demonstrating very strong performance. The glass-box approaches also performed competitively, representing a light-weight alternative to the neural-based models.
URL: http://hdl.handle.net/2436/623856
BASE
Hide details
19
Findings of the WMT 2020 shared task on quality estimation
In: 743 ; 764 (2020)
BASE
Show details
20
MLQE-PE: A multilingual quality estimation and post-editing dataset
BASE
Show details

Page: 1 2

Catalogues
0
0
0
0
3
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
26
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern