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Findings of the 2017 conference on machine translation (wmt17)
This paper presents the results of the WMT17 shared tasks, which included three machine
translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and …
translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and …
Findings of the 2016 conference on machine translation (wmt16)
This paper presents the results of the WMT16 shared tasks, which included five machine
translation (MT) tasks (standard news, IT-domain, biomedical, multimodal, pronoun), three …
translation (MT) tasks (standard news, IT-domain, biomedical, multimodal, pronoun), three …
[HTML][HTML] Evaluating the state-of-the-art of end-to-end natural language generation: The e2e nlg challenge
This paper provides a comprehensive analysis of the first shared task on End-to-End Natural
Language Generation (NLG) and identifies avenues for future research based on the results …
Language Generation (NLG) and identifies avenues for future research based on the results …
An evidential classifier based on Dempster-Shafer theory and deep learning
We propose a new classifier based on Dempster-Shafer (DS) theory and a convolutional
neural network (CNN) architecture for set-valued classification. In this classifier, called the …
neural network (CNN) architecture for set-valued classification. In this classifier, called the …
[PDF][PDF] Findings of the 2014 workshop on statistical machine translation
This paper presents the results of the WMT14 shared tasks, which included a standard news
translation task, a separate medical translation task, a task for run-time estimation of …
translation task, a separate medical translation task, a task for run-time estimation of …
Attaining the unattainable? reassessing claims of human parity in neural machine translation
A Toral, S Castilho, K Hu, A Way - ar** and evaluating grammatical error correction (GEC). Unlike other corpora, it …
What level of quality can neural machine translation attain on literary text?
Given the rise of the new neural approach to machine translation (NMT) and its promising
performance on different text types, we assess the translation quality it can attain on what is …
performance on different text types, we assess the translation quality it can attain on what is …
Can machine translation systems be evaluated by the crowd alone
Crowd-sourced assessments of machine translation quality allow evaluations to be carried
out cheaply and on a large scale. It is essential, however, that the crowd's work be filtered to …
out cheaply and on a large scale. It is essential, however, that the crowd's work be filtered to …