[PDF] Top 20 Improving Back Translation with Uncertainty based Confidence Estimation
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Improving Back Translation with Uncertainty based Confidence Estimation
... Sentence-level Confidence Measures Table 2 shows the comparison between word- and sentence-level CEV ...variance) confidence measures on the Chinese-English development ...the translation per- ...of ... See full document
12
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation
... machine translation mod- els ...ward translation and fuzzy matches as alternatives to back translation to augment noisy ...help improving robustness as it contains low quality training ... See full document
9
Improving Pronoun Translation by Modeling Coreference Uncertainty
... additional back-off translation table, based directly on the Coreference ...the back- off CM table, we turn them into unknown words for the default table, simply by substituting them by the ... See full document
9
Improving Evaluation of Machine Translation Quality Estimation
... as translation quality gold ...a translation that takes longer to manually correct is thought to have lower ...to translation qual- ity is an alteration of this, a post-edit rate (PER), where PETs ... See full document
10
Improving Machine Translation Quality Estimation with Neural Network Features
... machine translation outputs as features, and combined them with baseline fea- tures to improve the system performance of ...machine translation log-likelihood features based on their previous ... See full document
5
Improving Evaluation of Document level Machine Translation Quality Estimation
... Quality control is carried out by inclusion of pairs of genuine MT outputs and automatically de- graded versions of them (bad references) within 100-translation HITs, before a difference of means significance test ... See full document
6
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
Incorporating Word Reordering Knowledge into Attention based Neural Machine Translation
... This paper proposes three distor- tion models to explicitly incorporate the word reordering knowledge into attention-based Neural Machine Trans- lation (NMT) for further improving translation ... See full document
11
Confidence based Active Learning Methods for Machine Translation
... that if a sentence has been translated well with the existing data, it will not contribute to improving the translation quality. If however a sentence has been translated erroneously, it might have words or ... See full document
6
Context Dependent SMT Model using Bilingual Verb Noun Collocation
... machine translation model that is tightly cou- pled with a language ...chunk-based translation, we applied the back-off translation method at the head- tail and morpheme ...plausible ... See full document
8
Some Propositions to Improve the Prediction Capability of Word Confidence Estimation for Machine Translation
... Word Confidence Estimation (WCE) is the task of predicting the correct and incorrect words in the MT ...in improving the sentence level confidence estimation ... See full document
14
Generalizing Back Translation in Neural Machine Translation
... of translation quality, sampling from 50-best lists outperforms beam search, al- beit at a higher computational ...of improving upon the unrestricted sampling approach of Edunov et ... See full document
8
Exploring Prediction Uncertainty in Machine Translation Quality Estimation
... an uncertainty estimate for the pre- diction can provide additional information for the filtering ...maximise translation productivity, an MT segment could be forwarded for post-editing only if a QE model ... See full document
11
Word Level Confidence Estimation for Machine Translation using Phrase Based Translation Models
... phrase-based translation sys- tem described in section ...The translation quality in terms of WER, PER (position independent word error rate), BLEU and NIST score is given in tables 2 and ...English ... See full document
8
Uncertainty analysis of dynamic thermal rating based on environmental parameter estimation
... with uncertainty, the uncertainty of environment parameters based on Monte Carlo Method (MCM) is studied in this ...the uncertainty analysis of transmission line ampacity is realized ... See full document
10
Quantifying uncertainty in the estimation of probability distributions with confidence bands
... mechanistic based terms in a ...space estimation convergence or FSPEC in [15]) for approximation schemes for such problems were developed some years ago and now are used somewhat routinely by ... See full document
29
Confidence estimation for translation prediction
... quantities: the probability p ( k|x, h, s ) that exactly k characters from the beginning of x are correct, and the benefit B ( x|h, s, k ) to the translator if this is the case. B ( x|h, s, k ) is estimated from a model ... See full document
8
Word Level Confidence Estimation for Machine Translation
... phrase-based translation system described in Section ...model based on ...with confidence measures manages to improve upon the best available system as ... See full document
32
Confidence Interval Estimation for Precipitation Quantiles Based on Principle of Maximum Entropy
... Abstract: Confidence interval of is an interval corresponding to a specified confidence and including the true ...the confidence intervals of the POME quantile estimators have not been ...and ... See full document
38
Evaluate with Confidence Estimation: Machine ranking of translation outputs using grammatical features
... assume that we partially address this problem by us- ing ratios of source to target features (length, syn- tactic constituents), which means that in order for a sentence to trick the metric, it would need a com- parable ... See full document
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