Abstract. MSR-MT is a data-driven MT system that combines rule-based and statistical techniques with example-based transfer. This hybrid, large-scale system is capable of learning all its knowledge of lexical and phrasal translations directly from data. MSR-MT has undergone rigorous evaluation showing that, trained on a corpus of technical data similar to the test corpus, its output surpasses the quality of best-of-breed commercial MT systems
Automatic translation from one human language to another using computers, better known as machine tr...
Since the Cranfield-94 conference, we have come to a better understanding of the nature of MT system...
Progress in the Machine Translation (MT) research community, particularly for statistical approaches...
We describe MSR-MT, a large-scale example-based machine translation system under development for sev...
We describe MSR-MT, a large-scale hybrid machine translation system under development for several la...
The performance of machine translation technology after 50 years of development leaves much to be de...
Machine translation (MT) is an approach to give knowledge and train computer to translate the senten...
Information is increasingly global, which brings with it the growth in a non-English speaking public...
This paper presents an overview of the broad-coverage, application-independent natural language gene...
We report on an on-going research project aimed at increasing the range of translation equivalents w...
Learning Machine Translation is a collection of papers on using machine learning in machine translat...
Since its inception in the 1950s, and especially in the past 20 years, machine translation has made ...
This book provides a unified view on a new methodology for Machine Translation (MT). This methodolog...
This article presents the results of the research project ProjecTA, which attempts to bring machine ...
Machine translation is the process by which a computer system produces, from a source-language compu...
Automatic translation from one human language to another using computers, better known as machine tr...
Since the Cranfield-94 conference, we have come to a better understanding of the nature of MT system...
Progress in the Machine Translation (MT) research community, particularly for statistical approaches...
We describe MSR-MT, a large-scale example-based machine translation system under development for sev...
We describe MSR-MT, a large-scale hybrid machine translation system under development for several la...
The performance of machine translation technology after 50 years of development leaves much to be de...
Machine translation (MT) is an approach to give knowledge and train computer to translate the senten...
Information is increasingly global, which brings with it the growth in a non-English speaking public...
This paper presents an overview of the broad-coverage, application-independent natural language gene...
We report on an on-going research project aimed at increasing the range of translation equivalents w...
Learning Machine Translation is a collection of papers on using machine learning in machine translat...
Since its inception in the 1950s, and especially in the past 20 years, machine translation has made ...
This book provides a unified view on a new methodology for Machine Translation (MT). This methodolog...
This article presents the results of the research project ProjecTA, which attempts to bring machine ...
Machine translation is the process by which a computer system produces, from a source-language compu...
Automatic translation from one human language to another using computers, better known as machine tr...
Since the Cranfield-94 conference, we have come to a better understanding of the nature of MT system...
Progress in the Machine Translation (MT) research community, particularly for statistical approaches...