The Carnegie Mellon multi-engine machine translation software merges output from sev-eral machine translation systems into a single improved translation. This improvement is sig-nificant: in the recent NIST MT09 evaluation, the combined Arabic-English output scored 5.22 BLEU points higher than the best individual system. Concurrent with this paper, we release the source code behind this result consisting of a recombining beam search decoder, the com-bination search space and features, and several accessories. Here we describe how the released software works and its use. 1
In this paper, we present a Japanese→English machine trans-lation system that combines rule-based an...
In this paper, we present a Japanese→English machine trans-lation system that combines rule-based an...
With the rapid evolution of the Internet, translation has become part of the daily life of ordinary ...
Different machine translation engines can be remarkably dissimilar not only with re-spect to their t...
Combining Outputs from Machine Translation Systems By Fahim A. Salim Supervised by: Ing. Zdenek Zabo...
Combining Outputs from Machine Translation Systems By Fahim A. Salim Supervised by: Ing. Zdenek Zabo...
We describe a new approach for synthetically combining the output of several different Machine Trans...
We motivate our contribution to the shared MT task as a first step towards an inte-grated architectu...
Automatic translation from one human language to another using computers, better known as machine tr...
International audienceThe dream of a universal translation device goes back many decades, long befor...
This paper describes our submission, cmu-heafield-combo, to the WMT 2010 machine translation system ...
Machine translation is the process by which a computer system produces, from a source-language compu...
This paper describes our submission, cmu-heafield-combo, to the WMT 2010 machine translation system ...
The fact that machine translation output does not reach the level of good human trans...
The paper describes the Egyptian Arabic-to-English statistical machine translation (SMT) system that...
In this paper, we present a Japanese→English machine trans-lation system that combines rule-based an...
In this paper, we present a Japanese→English machine trans-lation system that combines rule-based an...
With the rapid evolution of the Internet, translation has become part of the daily life of ordinary ...
Different machine translation engines can be remarkably dissimilar not only with re-spect to their t...
Combining Outputs from Machine Translation Systems By Fahim A. Salim Supervised by: Ing. Zdenek Zabo...
Combining Outputs from Machine Translation Systems By Fahim A. Salim Supervised by: Ing. Zdenek Zabo...
We describe a new approach for synthetically combining the output of several different Machine Trans...
We motivate our contribution to the shared MT task as a first step towards an inte-grated architectu...
Automatic translation from one human language to another using computers, better known as machine tr...
International audienceThe dream of a universal translation device goes back many decades, long befor...
This paper describes our submission, cmu-heafield-combo, to the WMT 2010 machine translation system ...
Machine translation is the process by which a computer system produces, from a source-language compu...
This paper describes our submission, cmu-heafield-combo, to the WMT 2010 machine translation system ...
The fact that machine translation output does not reach the level of good human trans...
The paper describes the Egyptian Arabic-to-English statistical machine translation (SMT) system that...
In this paper, we present a Japanese→English machine trans-lation system that combines rule-based an...
In this paper, we present a Japanese→English machine trans-lation system that combines rule-based an...
With the rapid evolution of the Internet, translation has become part of the daily life of ordinary ...