[PDF] Top 20 Sentence Level Quality Estimation for MT System Combination
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Sentence Level Quality Estimation for MT System Combination
... the sentence level and comparing them with the ...the MT output differences (R1) leads to MAE scores between ...accurate sentence level score prediction was obtained on the MT ... See full document
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SHEF LIUM NN: Sentence level Quality Estimation with Neural Network Features
... Features play a key role in QE. A wide range of features from the source segments and their translations, often processed using external re- sources and tools, have been proposed. These go from simple, ... See full document
5
Discourse and Document level Information for Evaluating Language Output Tasks
... document level can be included in existing frameworks, such as ...document- level and sentence-level prediction and ...for Quality Estimation Discourse phenomena happen ... See full document
8
MIPT System for World Level Quality Estimation
... source sentence and its automatic translation and are asked to label the words in the machine transla- tion as OK or ...target sentence has a gap between every pair of neighboring words, one gap in the ... See full document
5
Comparative Quality Estimation: Automatic Sentence Level Ranking of Multiple Machine Translation Outputs
... pairwise level have been filtered out, since this does not add any useful information on the simple comparison explained ...the system for either of the ... See full document
18
DFKI’s experimental hybrid MT system for WMT 2015
... a sentence level se- lection mechanism, with the possibility to include deep linguistic and grammatical ...transfer-based system (handling of lexical items such as terminology, MWEs, OOVs and robust- ... See full document
8
USFD’s Phrase level Quality Estimation Systems
... Quality Estimation (QE) of Machine Translation (MT) is the task of determining the quality of an automatically translated text without compar- ing it to a reference ...of MT systems and ... See full document
6
SimpleNets: Quality Estimation with Resource Light Neural Networks
... Sentence-level QE has been covered by shared tasks organised by WMT since 2012, with sub- sequent years covering also word and document- level tasks. Recent advances in Distributional Se- mantics ... See full document
7
Coping with the Subjectivity of Human Judgements in MT Quality Estimation
... real quality of the classifica- tion, we hence opted for two task-oriented evalua- tion metrics sensitive to the number of false posi- tives (the main issue in a CAT environment, where false positives and true ... See full document
12
Exploring System Combination approaches for Indo Aryan MT Systems
... Current SMT systems rely heavily on large quan- tities of training data in order to produce good quality translations. In spite of several initiatives taken by numerous organizations to generate par- allel corpora ... See full document
7
The Benefit of Pseudo Reference Translations in Quality Estimation of MT Output
... WMT18 Quality Estima- tion sentence level ...NMT system, 13,442 tuples were made available for the train- ing, with an additional 1,000 tuples provided for development ...SMT system, ... See full document
6
Feature Enriched Character Level Convolutions for Text Regression
... document level. Quality esti- mates can be incorporated in Machine Transla- tion (MT) decoding or used for re-ranking of top candidates, for example, allowing for a more in- telligently guided ... See full document
7
NJU Submissions for the WMT19 Quality Estimation Shared Task
... Sentence-level Quality Estimation (QE) of Ma- chine Translation (MT) is a task to predict the quality scores for unseen machine translation out- puts at run-time, without relying ... See full document
6
MT Quality Estimation for Computer assisted Translation: Does it Really Help?
... for MT sug- gestions of short and medium length the percent- age of wins is always above 50%, while its value is systematically lower for the long sentences when ... See full document
6
Limitations of MT Quality Estimation Supervised Systems: The Tails Prediction Problem
... (MT) Quality Estimation (QE) has become an important subject of study in the past few years (Callison-Burch et ...erratic quality of MT output in general: although MT is now ... See full document
12
Assessing Quality Estimation Models for Sentence-Level Prediction
... Given different QE models, it is tempting to have an understanding of which QE models we should use. There have been several attempts to answer this important question (e.g. (Cohn and Specia, 2013; Soricut et al., 2012; ... See full document
13
Keep It or Not: Word Level Quality Estimation for Post Editing
... estimating quality of a machine translation (MT) system without referring the ac- tual translation is now one of the key research ar- eas in MT domain (Blatz et ...document quality ... See full document
6
Regression for Sentence Level MT Evaluation with Pseudo References
... multiple MT systems, the regression- trained metric is predictive even when the input is from a better MT system than those providing the ...comparing MT out- puts against other imperfect ... See full document
8
Sentence level quality estimation by predicting HTER as a multi component metric
... Quality Estimation (QE) is the evaluation method that aims at employing machine learning in order to predict some measure of quality given a Ma- chine Translation (MT) output (Blatz et ...the ... See full document
6
MT Quality Estimation: The CMU System for WMT‘13
... Similar to Blatz et al. (2004) we sort the vo- cabulary of the source side of the training corpus by occurrence frequency and then divide it into four parts, each of which covers 25% of all to- kens. As features we use ... See full document
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