Confidence Estimation
Confidence estimation for translation prediction
... to confidence estimation are tradi- tional smoothing techniques such as backing off to sim- pler models and cross validation, along with careful marginalization and scaling where applicable to obtain the ...
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High Level Approaches to Confidence Estimation in Speech Recognition
... An important objective in this work is to attempt to isolate the language and acoustic modeling components of the recog- nizer in order to assess separately the evidence for decoding a particular segment of the speech as ...
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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 ...level confidence estimation ...
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Word Level Confidence Estimation for Machine Translation
... The system-based approaches derive the word posterior probability from the sen- tence posterior. The posterior probability of a sentence e I 1 can be approximated by the joint probability p( f 1 J , e I 1 ), which the ...
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Integrating lexical, syntactic and system based features to improve Word Confidence Estimation in SMT
... Confidence Estimation at word level is the task of predicting the correct and incorrect words in the target sentence generated by a MT system. It helps to conclude the reliability of a given translation as ...
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Word Level Confidence Estimation for Machine Translation using Phrase Based Translation Models
... new confidence measure, will be presented in section ...on confidence estimation for statistical machine translation ...for confidence estimation which make use of SMT system output ...
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Towards Confidence Estimation for Typed Protein Protein Relation Extraction
... our confidence estimation models however, as Table 4 shows, our analysis returned no observable correlation (all τ values are close to zero), but without reaching statistical signifi- ...and/or ...
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Improving Back Translation with Uncertainty based Confidence Estimation
... the confidence of NMT model predictions based on model ...sentence-level confidence measures based on uncertainty, it is possible for back-translation to better cope with noise in synthetic bilingual ...
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Evaluate with Confidence Estimation: Machine ranking of translation outputs using grammatical features
... Automatic evaluation metrics for Machine Transla- tion (MT) have mainly relied on analyzing both the MT output against (one or more) reference transla- tions. Though, several paradigms in Machine Trans- lation Research ...
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Confidence Estimation for Knowledge Base Population
... Our confidence estimation model is based on the Maximum Entropy (MaxEnt) framework, a prob- abilistic model able to incorporate all features into a uniform model by assigning weights au- ...timate ...
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Word Confidence Estimation for SMT N best List Re ranking
... This work aims at re-ranking the N-best list to im- prove MT quality. Generally, during the transla- tion task, the decoder traverses through paths in its search space, computes the objective function values for them and ...
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Lightweight Word Level Confidence Estimation for Neural Interactive Translation Prediction
... use confidence estimation for interactive translation ...the confidence estimate to the user? Is it sufficient to use a visual representation (color, shading), or would it be preferable to show ...
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Non Linear Models for Confidence Estimation
... Confidence estimation is the task of predicting the quality of a system prediction without knowledge of the expected ...2010a). Confidence estimation is also of great interest for developers ...
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Performance Confidence Estimation for Automatic Summarization
... The Pearson correlations between features of the input and average system performance for each year is shown in Tables 1 and 2 for multi- and single-document summarization respectively. The last two columns show ...
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Confidence Estimation for Machine Translation
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Modeling Confidence in Sequence to Sequence Models
... with confidence measures, we also investigate methods to annotate source to- kens with ...prove confidence projection over using state- of-the-art external alignment ...downstream confidence ...
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Statistical Analysis of Rice Husk Ash as a Construction Material in Building Production Process
... This study considers the statistical analysis of rice husk ash as a construction material in building production process. The quality of concrete mixture is of inevitable concern to all stakeholders in the construction ...
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AN ANALYSIS OF THE IMPACT OF TAX REFORMS ON BUSINESS CONFIDENCE: EMPIRICAL EVIDENCE FROM THE EU MEMBER STATES
... business confidence indices comes from the fact that, though the general principles and the methodology the surveys are built on are the same, the questions and the answer choices are not ...business ...
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Robust Optimization and Confidence Interval DEA for Efficiency Evaluation with Intervals Case Study: Evaluating CRM Units in a Call Center in Tehran
... of confidence in the results obtained from the performance ...Interval estimation of the mean, to Increase the confidence of efficiency by considering scattered ...of confidence interval DEA ...
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GENERALISED MODEL BASED CONFIDENCE INTERVALS IN TWO STAGE CLUSTER SAMPLING
... Confidence intervals are usually constructed around point estimators in order to provide a properly scaled measure of uncertainty associated with the estimator. The conventional method is based on the assumption ...
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