[PDF] Top 20 Findings of the WMT 2018 Shared Task on Automatic Post Editing
Has 10000 "Findings of the WMT 2018 Shared Task on Automatic Post Editing" found on our website. Below are the top 20 most common "Findings of the WMT 2018 Shared Task on Automatic Post Editing".
Findings of the WMT 2018 Shared Task on Automatic Post Editing
... the automatic evaluation metrics used for the ...the WMT‘17 Trans- lation task (Huck et ...the task, training is per- formed by taking advantage of both the artificial data provided by ... See full document
16
Findings of the WMT 2018 Shared Task on Quality Estimation
... In Task 1, for English-German, the numbers of translations in the QE training data from the two systems are very different (26, 273 for SMT and 13, 442 for NMT) and thus no direct com- parison can be ... See full document
21
Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering
... The scoring on additional subset sizes was not announced before the submission deadline for the shared task, so none of the participants optimized for these. In fact, some participants assigned the same low ... See full document
14
Findings of the WMT 2019 Shared Task on Automatic Post Editing
... of post-editing. Three different to- kens are used, namely “no post-edit” (no edits are required), “light post-edit” (minimal edits are re- quired), and “heavy post-edit” (a large ... See full document
18
Unbabel’s Submission to the WMT2019 APE Shared Task: BERT Based Encoder Decoder for Automatic Post Editing
... Matt Post, Raphael Rubino, Carolina Scarton, Lucia Spe- cia, Marco Turchi, Karin Verspoor, and Marcos ...2016. Findings of the 2016 conference on machine ... See full document
6
The AMU UEdin Submission to the WMT 2017 Shared Task on Automatic Post Editing
... Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor, and Marcos ...2016. Findings of the 2016 conference on machine ... See full document
8
The FBK Participation in the WMT15 Automatic Post editing Shared Task
... APE task is to challenge the re- search groups to improve the MT output quality by the use of a dataset consisting of triplets of sen- tences (source, MT output, human ...lot task belongs to generic news ... See full document
6
PROMT Systems for WMT 2018 Shared Translation Task
... This paper describes the PROMT submissions for the WMT 2018 Shared News Translation Task. This year we participated only in the English-Russian language pair. We built two primary neural ... See full document
5
Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets
... the automatic translation of textual documents between lan- guages and can facilitate access to information only available in a given language for non- speakers of this language, ...Translation shared ... See full document
16
A Shared Attention Mechanism for Interpretation of Neural Automatic Post Editing Systems
... WMT16 shared task) integrated various neural machine translation (NMT) components in a log-linear ...that post-editing is re- versible, (Pal et ... See full document
7
MS UEdin Submission to the WMT2018 APE Shared Task: Dual Source Transformer for Automatic Post Editing
... Based on the overall weak performance for the neural sub-task, we feel justified in not investing much time into that particular sub-task. We hy- pothesize that if the same amount of effort had been put ... See full document
5
CUNI System for WMT17 Automatic Post Editing Task
... for automatic post-editing of machine translation output, we focus on exploit- ing the potential of sequence-to-sequence neural models for this ...to WMT 2017 Auto- matic ... See full document
6
Multi source Neural Automatic Post Editing: FBK’s participation in the WMT 2017 APE shared task
... the WMT 2017 APE shared task, our primary submissions achieved significant im- provements over the task baselines, which we out- performed by a large margin ... See full document
9
The FBK Participation in the WMT 2016 Automatic Post editing Shared Task
... and post-edits on the target side of the parallel ...the post-editing rules, and is less prone to word align- ment errors which eventually impact on the qual- ity of the post-editing ... See full document
6
UdS Submission for the WMT 19 Automatic Post Editing Task
... German task, and we used both the training set provided by WMT and the synthetic eSCAPE corpus (Ne- gri et ...a shared vo- cabulary of ...Grundkiewicz, 2018) shows few improvements, but ... See full document
6
LIG CRIStAL Submission for the WMT 2017 Automatic Post Editing Task
... the shared Automatic Post- Editing task of WMT ...neural post-editing models: a mono- source model with a task-specific atten- tion mechanism, which performs ... See full document
7
Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies
... the WMT Biomedical Translation task, we considered a total of six languages, namely Chinese (zh), English (en), French (fr), German (de), Portuguese (pt), and Spanish ...of automatic translations for ... See full document
25
A Neural Graph based Approach to Verbal MWE Identification
... labeling task similar to named entity recognition (NER): A system receives sequences of tokens as input and outputs the same sequences with annotation labels added to it (Constant et ...al., 2018), wich ... See full document
11
Tilde’s Machine Translation Systems for WMT 2017
... The year 2016 marked the first time when neu- ral machine translation (NMT) systems achieved significantly better results than statistical machine translation (SMT) systems for most of the trans- lation directions in the ... See full document
8
Fine grained evaluation of Quality Estimation for Machine translation based on a linguistically motivated Test Suite
... ular expressions, developed and tested on the first translation outputs, are afterwards applied to all the alternative translation outputs (stage d) to ac- quire the automatic labels (stage e). Further mod- ... See full document
6
Related subjects