EU-BRIDGE1 is a European research project which is aimed at developing innovative speech translation technology. This paper describes one of the collaborative efforts within EU-BRIDGE to further advance the state of the art in ma-chine translation between two European language pairs, English→French and German→English. Four research insti-tutions involved in the EU-BRIDGE project combined their individual machine translation systems and participated with a joint setup in the machine translation track of the evalua-tion campaign at the 2013 International Workshop on Spoken Language Translation (IWSLT). We present the methods and techniques to achieve high translation quality for text translation of talks which are ap-plied at RWTH Aachen Univ...
The C-STAR consortium recently demonstrated the results achieved in speech-to-speech machine transla...
This paper presents the results of the premier shared task organized alongside the Confer- ence...
International audienceThis paper describes the ON-TRAC Consortium translation systems developed for ...
This paper describes one of the col-laborative efforts within EU-BRIDGE to further advance the state...
This paper describes one of the col-laborative efforts within EU-BRIDGE to further advance the state...
This paper describes the systems submitted by FBK for the MT and SLT tracks of IWSLT 2014. We partic...
This paper describes Maastricht University’s participation in the IWSLT 2021 multilingual speech tra...
This paper describes Maastricht University’s participation in the IWSLT 2021 multilingual speech tra...
This paper describes Maastricht University’s participation in the IWSLT 2021 multilingual speech tra...
This paper describes Maastricht University’s participation in the IWSLT 2021 multilingual speech tra...
The proposed project sets out to improve the quality of machine translation (MT) technology. Ma-chin...
The Edinburgh submissions to the shared task of the Third Workshop on Statistical Machine Translatio...
This paper presents the results of the premier shared task organized alongside the Conference on Mac...
This paper describes the statistical ma-chine translation (SMT) systems devel-oped at RWTH Aachen Un...
We motivate our contribution to the shared MT task as a first step towards an inte-grated architectu...
The C-STAR consortium recently demonstrated the results achieved in speech-to-speech machine transla...
This paper presents the results of the premier shared task organized alongside the Confer- ence...
International audienceThis paper describes the ON-TRAC Consortium translation systems developed for ...
This paper describes one of the col-laborative efforts within EU-BRIDGE to further advance the state...
This paper describes one of the col-laborative efforts within EU-BRIDGE to further advance the state...
This paper describes the systems submitted by FBK for the MT and SLT tracks of IWSLT 2014. We partic...
This paper describes Maastricht University’s participation in the IWSLT 2021 multilingual speech tra...
This paper describes Maastricht University’s participation in the IWSLT 2021 multilingual speech tra...
This paper describes Maastricht University’s participation in the IWSLT 2021 multilingual speech tra...
This paper describes Maastricht University’s participation in the IWSLT 2021 multilingual speech tra...
The proposed project sets out to improve the quality of machine translation (MT) technology. Ma-chin...
The Edinburgh submissions to the shared task of the Third Workshop on Statistical Machine Translatio...
This paper presents the results of the premier shared task organized alongside the Conference on Mac...
This paper describes the statistical ma-chine translation (SMT) systems devel-oped at RWTH Aachen Un...
We motivate our contribution to the shared MT task as a first step towards an inte-grated architectu...
The C-STAR consortium recently demonstrated the results achieved in speech-to-speech machine transla...
This paper presents the results of the premier shared task organized alongside the Confer- ence...
International audienceThis paper describes the ON-TRAC Consortium translation systems developed for ...