This approach allows us to use relatively complex and better language models along with acoustic models to compute word posterior probabilities. The language ...

In this paper, the confidence measure of a hypothesized word is derived from its posterior probability. In contrast to common ap-.

The concept graph is obtained from a word graph through a partial parsing process using semantic grammars. This approach allows us to use relatively complex and ...

The concept graph is obtained from a word graph through a partial parsing process using semantic grammars. This approach allows us to use relatively complex and ...

This paper presents a novel approach to using con dence scores for word graph rescoring. For each word in the sys- tem's vocabulary, we computed the ...

A method of phrase verification to verify a phrase not only according to its confidence measures but also according to neighboring concepts and their ...

Nov 1, 2022 · Model confidence, often confused with Accuracy, is an indication of how likely (probability) the predictions of a machine learning algorithm are correct.

This article introduces and evaluates several different word-level confidence measures for ma- chine translation. These measures provide a method for ...

Abstract—Measuring similarity between texts is an essential task in a large variety of applications. Contemporary ap- proaches for this task rely heavily on ...

In frequentist statistics, a confidence interval (CI) is an interval which is expected to typically contain the parameter being estimated.