[PDF] Top 20 Target Centric Features for Translation Quality Estimation

... the target side are used as ...these features was motivated by manual exam- ination of the common error types in the train- ing ...the quality of machine trans- ...Pseudo-Reference Features We ... 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

... Encoding Quality Estimation (CEQE), for better encoding of context in word-level ...crafted features that allow the model to make more robust predictions in the face of a paucity of la- beled ... See full document

... and translation texts, and a few resources (where avail- able) such as the source MT training corpus and language models of source and ...of features that should be ... See full document

... referential translation ma- chines (RTM) for quality estimation of translation ...the translation acts between any two data sets with re- spect to a reference corpus selected in the ... See full document

... the target language in the domain of interest (each sentence is regarded as an artificial post-edited sentence p); then an MT sys- tem is ran to translate these sentences to the source language (which are regarded ... See full document

... as features to train a supervised ML algorithm to predict QE ...on features that attempt to quantify the complexity of a segment to be ...complex features between the source and machine ...of ... See full document

... Machine Translation (MT) evaluation met- rics can rely on the similarity of the MT system output to reference (human) translations as a proxy to quality assessment, this is not possible for MT systems in ... See full document

... Quality estimation task in WMT18 (Specia et ...machine translation per- formance prediction (MTPP), where translation quality is predicted without using reference trans- lations, at the ... See full document

... We used two different types of tree kernels for the different types of parse trees (see fig. 2). The Sub- set Tree Kernel (Collins and Duffy, 2001) consid- ers tree fragments consisting of more than one node with the ... 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

... Unlike syntactic parsing, semantic role la- belling does not produce a tree to be directly used in the tree kernel framework. There can be var- ious ways to accomplish this goal. We first try a method inspired by the PAS ... See full document

... MT quality assessment was ini- tially approached as a Confidence Estimation task, strongly biased towards exploiting data from a Sta- tistical MT (SMT) system and the translation pro- cess to model ... See full document

... The quality of role mining results has drawn more and more attention ...the quality of role mining results can only be evaluated after the role mining process is completed ...approacheson quality ... See full document

... With the great success of deep learning that has been achieved in digital image processing and au- tomatic speech recognition, deep learning has also made tremendous breakthroughs in natural lan- guage processing, e.g., ... See full document

... professional translation task and lexical features have the highest discriminative power for the two other ...complexity features, based on n-gram fre- quencies, are the most discriminant for the ... See full document

... of features into training a statistical ...statistically-independent features. For others, a search space of hundreds of features may impose increased computational complexity, which is often ... See full document

... the features and setup used in our submission to the WMT 2012 quality estimation (QE) shared ...machine translation (MT) system and a corpus of its translations which have been rated by ... See full document

... of target sen- tence (target prefix), while side constraints (Sennrich et ...with target sentence, while side constraints must be provided by the user or predicted by some other ...arbitrary ... See full document

... Proceedings for AMTA 2018 Workshop: Translation Quality Estimation and Automatic Post-Editing Boston, March 21, 2018 | Page 41.. Proceedings for AMTA 2018 Workshop: Translation Quality E[r] ... See full document