International audienceWhile translation technology is now at the core of most translator training programmes, only a handful include teaching of statistical machine translation (SMT). This paper reports on the design and evaluation of an SMT course, which we introduced in the second year of our Master's degree in Multilingual Specialised Translation in 2016
We report on findings of exploiting large data sets for translation modeling, language mod-eling and...
© Cambridge University Press, 2015.Statistical machine translation (SMT) is gaining interest given t...
Introduce statistical machine translation (SMT) using as little math as possible (0 < |math | <...
International audienceWhile translation technology is now at the core of most translator training pr...
Despite the growth of statistical machine translation (SMT) research and development in recent years...
Learning Machine Translation is a collection of papers on using machine learning in machine translat...
This paper tackles the issue of how to teach Machine Translation (MT) to future translators enrolled...
Machine translation can be considered a highly interdisciplinary and multidisciplinary field because...
This paper presents the experiment that was led at the University Paris 7 to teach machine translati...
This paper describes some resources for introducing concepts of statistical ma-chine translation. St...
Statistical machine translation (SMT) is an approach to Machine Translation (MT) that uses statistic...
Learning Machine Translation is a collection of papers on using machine learning in machine trans-la...
Empirical methods in Natural Language Processing (NLP) and Machine Translation (MT) have become main...
Sentence-aligned bilingual texts are a crucial resource to build statistical machine translation (SM...
This paper reports upon a survey carried out among thirty-eight trainee translators who took courses...
We report on findings of exploiting large data sets for translation modeling, language mod-eling and...
© Cambridge University Press, 2015.Statistical machine translation (SMT) is gaining interest given t...
Introduce statistical machine translation (SMT) using as little math as possible (0 < |math | <...
International audienceWhile translation technology is now at the core of most translator training pr...
Despite the growth of statistical machine translation (SMT) research and development in recent years...
Learning Machine Translation is a collection of papers on using machine learning in machine translat...
This paper tackles the issue of how to teach Machine Translation (MT) to future translators enrolled...
Machine translation can be considered a highly interdisciplinary and multidisciplinary field because...
This paper presents the experiment that was led at the University Paris 7 to teach machine translati...
This paper describes some resources for introducing concepts of statistical ma-chine translation. St...
Statistical machine translation (SMT) is an approach to Machine Translation (MT) that uses statistic...
Learning Machine Translation is a collection of papers on using machine learning in machine trans-la...
Empirical methods in Natural Language Processing (NLP) and Machine Translation (MT) have become main...
Sentence-aligned bilingual texts are a crucial resource to build statistical machine translation (SM...
This paper reports upon a survey carried out among thirty-eight trainee translators who took courses...
We report on findings of exploiting large data sets for translation modeling, language mod-eling and...
© Cambridge University Press, 2015.Statistical machine translation (SMT) is gaining interest given t...
Introduce statistical machine translation (SMT) using as little math as possible (0 < |math | <...