Findings of the WMT 2019 Shared Task on Automatic Post-Editing.
We present the results from the 5th round of the WMT task on MT Automatic Post-Editing.
The task consists in automatically correcting the output of a “black-box” machine translation …
The task consists in automatically correcting the output of a “black-box” machine translation …
IntelliCAT: Intelligent machine translation post-editing with quality estimation and translation suggestion
We present IntelliCAT, an interactive translation interface with neural models that streamline
the post-editing process on machine translation output. We leverage two quality estimation …
the post-editing process on machine translation output. We leverage two quality estimation …
An empirical study on automatic post editing for neural machine translation
Automatic post editing (APE) researches aim to correct errors in the machine translation
results. Recently, APE research has mainly been conducted in two directions: noise-based …
results. Recently, APE research has mainly been conducted in two directions: noise-based …
Iit bombay's wmt22 automatic post-editing shared task submission
S Deoghare, P Bhattacharyya - Proceedings of the Seventh …, 2022 - aclanthology.org
This paper describes IIT Bombay's submission to the WMT22 Automatic Post-Editing (APE)
shared task for the English-Marathi (En-Mr) language pair. We follow the curriculum training …
shared task for the English-Marathi (En-Mr) language pair. We follow the curriculum training …
Transfer learning for sequence generation: from single-source to multi-source
Multi-source sequence generation (MSG) is an important kind of sequence generation tasks
that takes multiple sources, including automatic post-editing, multi-source translation, multi …
that takes multiple sources, including automatic post-editing, multi-source translation, multi …
[HTML][HTML] Adapting neural machine translation for automatic post-editing
Automatic post-editing (APE) models are used to correct machine translation (MT) system
outputs by learning from human post-editing patterns. We present the system used in our …
outputs by learning from human post-editing patterns. We present the system used in our …
HIT-MI &T Lab's Submission to CCMT 2023 Automatic Post-editing Task
R Zhang, J Yuan, H Huang, M Yang, T Zhao - China Conference on …, 2023 - Springer
Automatic post-editing (APE) aims to automatically correct the outputs of the machine
translation system by learning from manual correction examples. We present the system …
translation system by learning from manual correction examples. We present the system …
An Empirical Study of Automatic Post-Editing
Automatic post-editing (APE) aims to reduce manual post-editing efforts by automatically
correcting errors in machine-translated output. Due to the limited amount of human …
correcting errors in machine-translated output. Due to the limited amount of human …
The verification of the transfer learning-based automatic post editing model
Automatic post editing is a research field that aims to automatically correct errors in machine
translation results. This research is mainly being focus on high resource language pairs …
translation results. This research is mainly being focus on high resource language pairs …
Research Center on Language Technology, School of Computer Science and Engineering, Harbin Institute of Technology, Harbin, China {23S003048, 7203610706 …
R Zhang, J Yuan, H Huang, M Yang… - … Translation: 19th China …, 2023 - books.google.com
Automatic post-editing (APE) aims to automatically correct the outputs of the machine
translation system by learning from manual correction examples. We present the system …
translation system by learning from manual correction examples. We present the system …