Add to ORKGThis article describes in detail an n-gram approach to statistical machine translation. This approach consists of a log-linear combination of a translation model based on n-grams of bilingual units, which are referred to as tuples, along with four specific feature functions. Translation performance, which happens to be in the state of the art, is demonstrated with Spanish-to-English and English-to-Spanish translations of the European Parliament Plenary Sessions (EPPS).Peer Reviewe
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Synt...
Machine translation can be considered a highly interdisciplinary and multidisciplinary field because...
Conventional confusion network based system combination for machine translation (MT) heavily relies ...
This article describes in detail an n-gram approach to statistical machine translation. This ap- pro...
This article describes in detail an n-gram approach to statistical machine translation. This ap- pro...
This paper describes a statistical machine trans-lation system that uses a translation model which i...
This paper describes the UPC’s bilingual n-gram approach to statistical machine translation, which i...
This work discusses translation results for the four Euparl data sets which were made available for ...
This work discusses translation results for the four Euparl data sets which were made available for ...
Abstract. This paper describes the use of a statistical structural N-gram model in the natural langu...
This article presents some experimental results on Chinese to Spanish machine translation. The imple...
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax...
iv L’amitie ́ se nourrit de communication. Michel de Montaigne vi The thesis work mainly focused on ...
Machine translation can be considered a highly interdisciplinary and multidisciplinary field because...
Achieving high accuracy in automatic translation tasks has been one of the challenging goals for res...
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Synt...
Machine translation can be considered a highly interdisciplinary and multidisciplinary field because...
Conventional confusion network based system combination for machine translation (MT) heavily relies ...
This article describes in detail an n-gram approach to statistical machine translation. This ap- pro...
This article describes in detail an n-gram approach to statistical machine translation. This ap- pro...
This paper describes a statistical machine trans-lation system that uses a translation model which i...
This paper describes the UPC’s bilingual n-gram approach to statistical machine translation, which i...
This work discusses translation results for the four Euparl data sets which were made available for ...
This work discusses translation results for the four Euparl data sets which were made available for ...
Abstract. This paper describes the use of a statistical structural N-gram model in the natural langu...
This article presents some experimental results on Chinese to Spanish machine translation. The imple...
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax...
iv L’amitie ́ se nourrit de communication. Michel de Montaigne vi The thesis work mainly focused on ...
Machine translation can be considered a highly interdisciplinary and multidisciplinary field because...
Achieving high accuracy in automatic translation tasks has been one of the challenging goals for res...
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Synt...
Machine translation can be considered a highly interdisciplinary and multidisciplinary field because...
Conventional confusion network based system combination for machine translation (MT) heavily relies ...