[PDF] Top 20 Exploring Consensus in Machine Translation for Quality Estimation

... For EN-DE, the reasons for the bad perfor- mance of consensual features are not clear. This language pair showed the worst average quality scores for all systems. Reasons for this can include characteristics of ... See full document

... on machine translation quality estimation as application, in this paper we show that multitask learning is also useful in cases where data is ... See full document

... the quality of texts translated auto- matically by Machine Translation (MT) systems have become a necessity in many ...as quality estimation (QE), or also confi- dence ... See full document

... Machine translation quality estimation is a challenging task in the WMT evaluation ...matic quality estimation, and in this paper, we propose neural network fea- tures, including ... 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 sized ... See full document

... Quality estimation (QE) of machine translation (MT) is a task of determining the quality of an au- tomatically translated text without any oracle (ref- erence) ...(i.e. ... See full document

... Machine Translation Quality Estimation is a notoriously difficult task, which lessens its usefulness in real-world translation en- ...if quality predictions are accompa- nied by ... See full document

... Confidence Estimation features and a learning mechanism trained on human ...traditional machine translation evaluation and the quality estimation tasks recently ...its quality, ... See full document

... neural machine translation, the MT has reached at the level of performance where it can be allowed for their integration into the real-world translation ...the translation quality as ... See full document

... Quality Estimation (QE) for Machine Translation (MT) involves judging the correctness of the output of an MT system given an input and no reference translation (Blatz et ...a ... See full document

... Meaningful conclusions about the relative performance of NLP systems are only pos- sible if the gold standard employed in a given evaluation is both valid and reli- able. In this paper, we explore the va- lidity of human ... See full document

... on Quality Estima- tion (QE), ...supervised Machine Learning (ML) problem and designed additional features and combined these with the baseline feature set to estimate ... See full document

... of machine transla- tion, where high inter-annotator agreement is difficult to achieve, and fully automatic metrics, such as BLEU or TER, that lack the validity of human ...Human-targeted translation edit ... See full document

... Proceedings for AMTA 2018 Workshop: Translation Quality Estimation and Automatic Post-Editing Boston, March 21, 2018 | Page 1.. Nicola Ueffing • Research scientist on eBay‘s machine tran[r] ... See full document

... Multitask learning (MTL) aims to simultane- ously learn models for a set of possibly related tasks by exploiting their relationships. By do- ing this, improved generalization capabilities are obtained over models trained ... See full document

... this respect mainly due to a lack of such resources. The only available gold standard resource is a small set of 1000 sentences taken from Europarl (Koehn, 2005) and manually annotated with Prop- bank verb predicates ... 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

... the Quality Estimation (QE) shared task at WMT ...Vector Machine re- gression, using a number of explicitly defined features extracted from the Machine Transla- tion input, output and models ... See full document

... The TED talks domain is formed by subtitles of several talks in a range of topics presented in the TED conferences. The complete dataset has been used for MT and automatic speech recognition systems evaluation within the ... See full document

... 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