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 …
[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 …
TransQuest: Translation quality estimation with cross-lingual transformers
Recent years have seen big advances in the field of sentence-level quality estimation (QE),
largely as a result of using neural-based architectures. However, the majority of these …
largely as a result of using neural-based architectures. However, the majority of these …
OpenKiwi: An open source framework for quality estimation
We introduce OpenKiwi, a PyTorch-based open source framework for translation quality
estimation. OpenKiwi supports training and testing of word-level and sentence-level quality …
estimation. OpenKiwi supports training and testing of word-level and sentence-level quality …
Findings of the WMT 2019 shared tasks on quality estimation
We report the results of the WMT19 shared task on Quality Estimation, ie the task of
predicting the quality of the output of machine translation systems given just the source text …
predicting the quality of the output of machine translation systems given just the source text …
Findings of the WMT 2021 shared task on quality estimation
We report the results of the WMT 2021 shared task on Quality Estimation, where the
challenge is to predict the quality of the output of neural machine translation systems at the …
challenge is to predict the quality of the output of neural machine translation systems at the …
From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation
Machine Translation Quality Estimation (MTQE) is the task of estimating the quality of
machine-translated text in real time without the need for reference translations, which is of …
machine-translated text in real time without the need for reference translations, which is of …
Dynamic data selection and weighting for iterative back-translation
Back-translation has proven to be an effective method to utilize monolingual data in neural
machine translation (NMT), and iteratively conducting back-translation can further improve …
machine translation (NMT), and iteratively conducting back-translation can further improve …
Enhancement of encoder and attention using target monolingual corpora in neural machine translation
A large-scale parallel corpus is required to train encoder-decoder neural machine
translation. The method of using synthetic parallel texts, in which target monolingual corpora …
translation. The method of using synthetic parallel texts, in which target monolingual corpora …