In this paper, a statistical speech-to-speech translation system, developed at TALP during the last months, is presented. By adapting well-known speech recognition techniques to the specific translation setting, the system is able to integrate speech signal into a finite state transducer that translates statistically domain-constrained Spanish sentences into English ones. 1
This paper presents a statistical natural language generation scheme for trainable speech-to-speech ...
This article describes in detail an n-gram approach to statistical machine translation. This approac...
Speech translation is conventionally car-ried out by cascading an automatic speech recognition (ASR)...
ABSTRACT 1 In this paper, a statistical speech-to-speech translation system, developed at TALP durin...
Synergic combination of different sources of knowledge is a key issue for the development of modern ...
Synergic combination of different sources of knowledge is a key issue for the development of modern ...
This paper describes a statistical machine trans-lation system that uses a translation model which i...
Abstract — The synergic combination of different sources of knowledge is a key aspect in the develop...
We describe a series of experiments in which we start with English to French and English to Japanese...
We describe a series of experiments in which we start with English to French and English to Japanese...
Creation of lexica and corpora for Catalan, Spanish and US-English is described. A lexicon is being ...
This paper describes a new approach to language model adaptation for speech recognition based on the...
We describe the Cambridge University En-gineering Department phrase-based statisti-cal machine trans...
The localization of speech recognition for large-scale spoken dialog systems can be a tremendous exe...
Research into the translation of the output of automatic speech recognition (ASR) systems is hindere...
This paper presents a statistical natural language generation scheme for trainable speech-to-speech ...
This article describes in detail an n-gram approach to statistical machine translation. This approac...
Speech translation is conventionally car-ried out by cascading an automatic speech recognition (ASR)...
ABSTRACT 1 In this paper, a statistical speech-to-speech translation system, developed at TALP durin...
Synergic combination of different sources of knowledge is a key issue for the development of modern ...
Synergic combination of different sources of knowledge is a key issue for the development of modern ...
This paper describes a statistical machine trans-lation system that uses a translation model which i...
Abstract — The synergic combination of different sources of knowledge is a key aspect in the develop...
We describe a series of experiments in which we start with English to French and English to Japanese...
We describe a series of experiments in which we start with English to French and English to Japanese...
Creation of lexica and corpora for Catalan, Spanish and US-English is described. A lexicon is being ...
This paper describes a new approach to language model adaptation for speech recognition based on the...
We describe the Cambridge University En-gineering Department phrase-based statisti-cal machine trans...
The localization of speech recognition for large-scale spoken dialog systems can be a tremendous exe...
Research into the translation of the output of automatic speech recognition (ASR) systems is hindere...
This paper presents a statistical natural language generation scheme for trainable speech-to-speech ...
This article describes in detail an n-gram approach to statistical machine translation. This approac...
Speech translation is conventionally car-ried out by cascading an automatic speech recognition (ASR)...