[PDF] Top 20 Confidence estimation for translation prediction
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Confidence estimation for translation prediction
... post-prediction confidence estimation approach: by train- ing an additional CE layer using the same confidence fea- tures and training data for different underlying prediction models we ... See full document
8
Lightweight Word Level Confidence Estimation for Neural Interactive Translation Prediction
... tive translation prediction provides a human trans- lator using a CAT tool with functionality similar to “auto-complete” (as provided on smartphones, tablets, ...a translation, the interactive ... See full document
6
Goodness: A Method for Measuring Machine Translation Confidence
... error prediction accuracy is increased from ...proposed confidence scores can help the MT sys- tem to select better translations and as a result improve- ments between ... See full document
9
Confidence based Rewriting of Machine Translation Output
... high confidence values, which would add new n-grams likely of being produced by ...MT confidence estimation, which predict whether a word or phrase is correct or not, our rewriter system could be ... See full document
12
Evaluate with Confidence Estimation: Machine ranking of translation outputs using grammatical features
... We present a pilot study on an evaluation method which is able to rank translation out- puts with no reference translation, given only their source sentence. The system employs a statistical classifier ... See full document
6
Confidence in Structured Prediction Using Confidence Weighted Models
... on confidence estimation for an entire exam- ple or some fields of an entry (Culotta and McCal- lum, 2004) using ...of confidence estimation is extracted fields of an interactive information ... See full document
11
Non Linear Models for Confidence Estimation
... The datasets used in our experiments were released for the WMT’12 Quality Estimation Task. All the data provided in this shared task are based on the test set of WMT’09 and WMT’10 translation tasks. The ... See full document
6
Performance Confidence Estimation for Automatic Summarization
... We address the task of automatically pre- dicting if summarization system perfor- mance will be good or bad based on fea- tures derived directly from either single- or multi-document inputs. Our labelled cor- pus for the ... See full document
8
Confidence based Active Learning Methods for Machine Translation
... Our AL sentence selection strategy relies on qual- ity estimation (QE). QE is aimed at predicting the quality of a translated text (in this case, a sen- tence) without resorting to reference translations. It ... See full document
6
Balancing User Effort and Translation Error in Interactive Machine Translation via Confidence Measures
... of confidence measures within an interactive- predictive machine translation system in order to reduce human ...in translation quality can be tolerated for the sake of efficiency, user effort can be ... See full document
5
RTM results for Predicting Translation Performance
... 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
5
Some Propositions to Improve the Prediction Capability of Word Confidence Estimation for Machine Translation
... phrase-based translation model for detecting word ...The confidence value of each target word is then computed by summing over all phrase pairs in which the target part contains this ... See full document
14
Word Level Confidence Estimation for Machine Translation
... machine translation system assigns to a generated ...in confidence estimation, they need to be normalized in order to obtain a probability distri- bution over all target sentences (see Equation ... See full document
32
Improving Back Translation with Uncertainty based Confidence Estimation
... Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan ... See full document
12
Word Level Confidence Estimation for Machine Translation using Phrase Based Translation Models
... When analyzing the impact of the different sub- models in the phrase-based approach, we found that the language model does not have much impact on the confidence estimation. There are only slight variations ... See full document
8
Confidence Estimation for Machine Translation
... ????????? ?? ?? ????????????????????????! #" ?$?&% ?'? )(* ??+? ? ,???? ????? /10&2?3#46587 9; <$='>@? ACBCDFEG? HJILKNM?OQPSRUTLVQWNXZY?[?OQ\CX?] ['^` a bZcQ3edfcJ9` hgji?bL7?58k lGEnm ? oqprEGs t?>@[.] ... See full document
7
Exploring Prediction Uncertainty in Machine Translation Quality Estimation
... Technically our approach could be used with any other numeric quality labels from the litera- ture, including the commonly used Human Trans- lation Error Rate (HTER) (Snover et al., 2006). Our decision to focus on ... See full document
11
High Level Approaches to Confidence Estimation in Speech Recognition
... position, confidence in the correctness of that word would be high, given that the phoneme strings in the word decoding problem and in the phone recognition problem are from different “slices” of imposed by the ... See full document
12
Considering hazard estimation uncertain in urban resilience strategies
... the two approaches: u corresponds to µ while λ corresponds to σ in the block maxima technique. It appears that the only difference between both methods relies on the estimation of the parameters. The POT approach ... See full document
10
Prediction of Learning Curves in Machine Translation
... professional translation services or through increasingly fashionable ...satisfactory translation accuracy, preventing sound provisional ...This prediction, or more generally the prediction of ... See full document
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