The thesis introduces the Confidence Measure framework to the parsing world. They are widely used in Automatic Speech Recognition and Statistical Machine Translation, where they are used to asses the confidence in the correctness of each word in a given output sentence. In parsing, confidence refer to each edge (or constituent) of a given tree.Sánchez Sáez, R. (2008). A statistical confidence measure framework for probabilistic parsing. http://hdl.handle.net/10251/13288Archivo delegad
Confidence Estimation has been extensively used in Speech Recognition and now it is also being appli...
This article introduces and evaluates several different word-level confidence measures for machine t...
Confidence measures for the results of speech/speaker recognition make the systems more useful in th...
Confidence measures are a practical solution for improving the usefulness of Natural Language Proces...
In this paper, we present several confidence measures for (statistical) machine translation. We intr...
In this paper, we present several confidence measures for (statistical) machine translation. We intr...
This paper describes an efficient method to perform word confidence measures in an automatic speech ...
Cette thèse de doctorat aborde les problématiques de l'estimation de confiance pour la traduction au...
Despite the significant advances in speech and language technologies speech recognition systems are ...
International audienceA confidence measure is able to estimate the reliability of an hypothesis prov...
Abstract. In this paper, we will address the question of how to efficiently integrate word confidenc...
This article introduces and evaluates several different word-level confidence measures for ma-chine ...
In this paper, we present improved word-level confidence measures based on poste-rior probabilities ...
In this paper we present a new application for confidence measures in spoken language processing. In...
This thesis contributes to the research domain of statistical language modeling. In this domain, the...
Confidence Estimation has been extensively used in Speech Recognition and now it is also being appli...
This article introduces and evaluates several different word-level confidence measures for machine t...
Confidence measures for the results of speech/speaker recognition make the systems more useful in th...
Confidence measures are a practical solution for improving the usefulness of Natural Language Proces...
In this paper, we present several confidence measures for (statistical) machine translation. We intr...
In this paper, we present several confidence measures for (statistical) machine translation. We intr...
This paper describes an efficient method to perform word confidence measures in an automatic speech ...
Cette thèse de doctorat aborde les problématiques de l'estimation de confiance pour la traduction au...
Despite the significant advances in speech and language technologies speech recognition systems are ...
International audienceA confidence measure is able to estimate the reliability of an hypothesis prov...
Abstract. In this paper, we will address the question of how to efficiently integrate word confidenc...
This article introduces and evaluates several different word-level confidence measures for ma-chine ...
In this paper, we present improved word-level confidence measures based on poste-rior probabilities ...
In this paper we present a new application for confidence measures in spoken language processing. In...
This thesis contributes to the research domain of statistical language modeling. In this domain, the...
Confidence Estimation has been extensively used in Speech Recognition and now it is also being appli...
This article introduces and evaluates several different word-level confidence measures for machine t...
Confidence measures for the results of speech/speaker recognition make the systems more useful in th...