Add to ORKGThis paper reports on measures to improve the quality of MT systems, by using a hybrid system architecture which adds corpus-based and statistical components to an existing rule-based system backbone. The focus is on improving the accuracy of the dictionary resources.
This is the peer reviewed version of the following article: [Costa-jussà, M. R. (2015), How much hyb...
Progress in the Machine Translation (MT) research community, particularly for statistical approaches...
The paper presents an overview of the Spoken Language Translator (SLT) system's hybrid language...
This article describes a hybrid approach to machine translation (MT), which is inspired by the rule-...
We describe MSR-MT, a large-scale hybrid machine translation system under development for several la...
The present article investigates the fusion of different language models to improve transla-tion acc...
Since the Cranfield-94 conference, we have come to a better understanding of the nature of MT system...
This paper addresses the issue of combining existing tools and resources to customise dictionaries u...
In this paper we present a corpus-based method to evaluate the translation quality of machine transl...
In this paper we present a corpus-based method to evaluate the translation quality of machine transl...
This article offers a general overview of current methods in corpus-based MT. It first presents ...
Most current taxonomies of machine translation (MT) systems start by contrasting rule-based (RB) sys...
Progress in the Machine Translation (MT) research community, particularly for statistical approaches...
Machine translation offers the challenge of automatically translating a text from one natural langu...
This is the peer reviewed version of the following article: [Costa-jussà, M. R. (2015), How much hyb...
This is the peer reviewed version of the following article: [Costa-jussà, M. R. (2015), How much hyb...
Progress in the Machine Translation (MT) research community, particularly for statistical approaches...
The paper presents an overview of the Spoken Language Translator (SLT) system's hybrid language...
This article describes a hybrid approach to machine translation (MT), which is inspired by the rule-...
We describe MSR-MT, a large-scale hybrid machine translation system under development for several la...
The present article investigates the fusion of different language models to improve transla-tion acc...
Since the Cranfield-94 conference, we have come to a better understanding of the nature of MT system...
This paper addresses the issue of combining existing tools and resources to customise dictionaries u...
In this paper we present a corpus-based method to evaluate the translation quality of machine transl...
In this paper we present a corpus-based method to evaluate the translation quality of machine transl...
This article offers a general overview of current methods in corpus-based MT. It first presents ...
Most current taxonomies of machine translation (MT) systems start by contrasting rule-based (RB) sys...
Progress in the Machine Translation (MT) research community, particularly for statistical approaches...
Machine translation offers the challenge of automatically translating a text from one natural langu...
This is the peer reviewed version of the following article: [Costa-jussà, M. R. (2015), How much hyb...
This is the peer reviewed version of the following article: [Costa-jussà, M. R. (2015), How much hyb...
Progress in the Machine Translation (MT) research community, particularly for statistical approaches...
The paper presents an overview of the Spoken Language Translator (SLT) system's hybrid language...