[PDF] Top 20 The UU Submission to the Machine Translation Quality Estimation Task

... The amount of reordering done as measured in this paper can suffice to indicate irregularities in reordering through the learning methods. How- ever, simply relying on counting crossings in 1- 1 alignments, could inflict ... See full document

... This paper describes the features and the ma- chine learning methods used by Dublin City University (DCU) and S YMANTEC for the WMT 2012 quality estimation task. Two sets of features are proposed: ... See full document

... general translation task, an automatic post-editing task, a quality estimation task, a metrics task, and a tuning ...post-editing task was introduced this year as a ... See full document

... Machine Translation (MT) Quality Estimation (QE) is the task of providing a quality indicator for unseen automatically translated sentences without relying on reference ... See full document

... automatic estimation of machine translation (MT) output quality is a hard task in which the selection of the appro- priate algorithm and the most predictive features over reasonably ... See full document

... All the related models are estimated on a cor- pus of 150K newswire sentences collected from the training/development corpora of previous WMT edi- tions (Callison-Burch et al., 2007; Callison-Burch et al., 2011). We ... See full document

... Uppsala University submitted two systems to this shared task. Our systems were fairly successful and achieved results that were outperformed by only one competing group. They improve over the baseline performance ... See full document

... of Quality Estimation (QE) has the goal to provide automatic methods for the evaluation of Machine Translation (MT), that do not require reference transla- tions in their ...our ... See full document

... As a term of comparison, we consider these baselines in our experiments. A simple to implement but difficult to beat baseline when dealing with regression on tasks with different distributions is to compute the mean of ... See full document

... proposed: Task 1 at sentence level (Section 4.3), Task 2 at word level (Sec- tion ...and Task 3 at document level (Section ...tistical machine translation (SMT) system, while ... See full document

... WPTP12: This dataset was distributed by Ko- ponen et al. (2012). It contains 299 English sen- tences translated into Spanish using two or more of eight MT systems randomly selected from all system submissions for WMT11 ... See full document

... of Translation with Explicit OR- dering) scores MT outputs by aligning them with given ...a translation sen- tence and the corresponding reference ... See full document

... as translation quality gold ...derlying quality of translations, as a translation that takes longer to manually correct is thought to have lower ...to translation qual- ity is an ... See full document

... reflect translation quality (Specia, 2011), such as the time needed to post-edit a translation hypothesis, the hTER, or qualitative judgments as it was the case for the shared task of WMT ... See full document

... our machine translation quality estimation system, QE Brain, for both the sentence-level and word-level tasks in WMT 2018 Quality ...and translation out- put for estimating ... See full document

... regression task where modelling predic- tive uncertainty is useful, either in human decision making or by propagating this information for fur- ther computational ... See full document

... Neural Machine Translation Training Task aims to test various methods of training neural machine translation sys- ...AFRL submission, including preprocessing and its knowledge ... See full document

... chine translation output quality geared to the needs of computer-assisted ...multiple translation jobs, ii) react to data diversity by ex- ploiting human feedback, and iii) leverage data similarity ... See full document

... We have presented the submissions of the PRHLT group to the WMT12 QE task. The estimation sys- tems were based on support vector machines for re- gression. Several features were used to train the systems in ... See full document

... We present the contribution of the Unbabel team to the WMT 2019 Shared Task on Qual- ity Estimation. We participated on the word, sentence, and document-level tracks, encom- passing 3 language pairs: ... See full document