1 |
When Does Translation Require Context? A Data-driven, Multilingual Exploration ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Do Context-Aware Translation Models Pay the Right Attention? ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
MLQE-PE: A multilingual quality estimation and post-editing dataset
|
|
Fomicheva, Marina; Sun, Shuo; Fonseca, Erick; Zerva, Chrysoula; Blain, Frédéric; Chaudhary, Vishrav; Guzmán, Francisco; Lopatina, Nina; Specia, Lucia; Martins, André FT. - : arXiv, 2020
|
|
Abstract:
© 2020 The Authors. For reuse permissions, please contact the Authors. ; We present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE). The dataset contains eleven language pairs, with human labels for up to 10,000 translations per language pair in the following formats: sentence-level direct assessments and post-editing effort, and word-level good/bad labels. It also contains the post-edited sentences, as well as titles of the articles where the sentences were extracted from, and the neural MT models used to translate the text.
|
|
Keyword:
cs.CL; machine translation
|
|
URL: http://hdl.handle.net/2436/624591
|
|
BASE
|
|
Hide details
|
|
6 |
OpenKiwi: An Open Source Framework for Quality Estimation ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Universal Dependencies 2.2
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
|
|
BASE
|
|
Show details
|
|
8 |
Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Universal Dependencies 2.1
|
|
|
|
In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
|
|
BASE
|
|
Show details
|
|
|
|