Add to ORKGWe describe MSR-MT, a large-scale example-based machine translation system under development for several language pairs. Trained on aligned English-Spanish technical prose, a blind evaluation shows that MSR-MT’s integration of rule-based parsers, example based processing, and statistical techniques produces translations whose quality in this domain exceeds that of uncustomized commercial MT systems
We have developed an example-based machine translation (EBMT) system that uses the World Wide Web fo...
The purpose of this work is to show how machine translation can be integrated into professional tran...
This article presents the results of the research project ProjecTA, which attempts to bring machine ...
We describe MSR-MT, a large-scale hybrid machine translation system under development for several la...
Abstract. MSR-MT is a data-driven MT system that combines rule-based and statistical techniques with...
In the past few decades machine translation research has made major progress. A researcher now has a...
Abstract. The first research on integrating controlled language data in an Example-Based Machine Tra...
EBMT (Example-Based Machine Translation) is proposed. EBMT retrieves imilar examples (pairs of sourc...
This paper proposes an example driven ap-proach to improve the quality of MT system outputs. Specifi...
This paper describes and evaluates Matador, an implemented large-scale Spanish-English MT system bui...
The first research on integrating controlled language data in an Example-Based Machine Translation (...
We report on an on-going research project aimed at increasing the range of translation equivalents w...
This paper presents example-based machine translation (MT) based on syntactic trans-fer, which selec...
Machine translation (MT) is an approach to give knowledge and train computer to translate the senten...
Abstract. We describe ongoing efforts towards and challenges in using an Example-Based Machine Trans...
We have developed an example-based machine translation (EBMT) system that uses the World Wide Web fo...
The purpose of this work is to show how machine translation can be integrated into professional tran...
This article presents the results of the research project ProjecTA, which attempts to bring machine ...
We describe MSR-MT, a large-scale hybrid machine translation system under development for several la...
Abstract. MSR-MT is a data-driven MT system that combines rule-based and statistical techniques with...
In the past few decades machine translation research has made major progress. A researcher now has a...
Abstract. The first research on integrating controlled language data in an Example-Based Machine Tra...
EBMT (Example-Based Machine Translation) is proposed. EBMT retrieves imilar examples (pairs of sourc...
This paper proposes an example driven ap-proach to improve the quality of MT system outputs. Specifi...
This paper describes and evaluates Matador, an implemented large-scale Spanish-English MT system bui...
The first research on integrating controlled language data in an Example-Based Machine Translation (...
We report on an on-going research project aimed at increasing the range of translation equivalents w...
This paper presents example-based machine translation (MT) based on syntactic trans-fer, which selec...
Machine translation (MT) is an approach to give knowledge and train computer to translate the senten...
Abstract. We describe ongoing efforts towards and challenges in using an Example-Based Machine Trans...
We have developed an example-based machine translation (EBMT) system that uses the World Wide Web fo...
The purpose of this work is to show how machine translation can be integrated into professional tran...
This article presents the results of the research project ProjecTA, which attempts to bring machine ...