This paper describes a push-the-button MT system combination toolkit. The combination is based on the creation of a lattice made on several confusion networks (CN) connected together. This lattice is then decoded with a token-pass decoder to provide the best and/or n-best out-puts. Each CN is built using a modified version of the TERp tool. The toolkit is made of several scripts along a core program developed in Java. It is totally configurable and the parameters can be tuned quite easily. 1
Current MT systems, whatever translation method they at present employ, do not reach an optimum outp...
Given multiple translations of the same source sentence, how to combine them to produce a translatio...
In this paper, we propose a novel lattice-based MT combination methodology that we call Target-to-Ta...
Recently, confusion network decoding has been applied in machine translation system combination. Due...
Machine translation is a task in the field of natural language processing whose objective is to tran...
The state-of-the-art system combination method for machine translation (MT) is based on confusion ne...
Conventional confusion network based system combination for machine translation (MT) heavily relies ...
LIUM participated in the System Combi-nation task of the Fifth Workshop on Sta-tistical Machine Tran...
Abstract The state-of-the-art system combination method for machine translation (MT) is the word-bas...
The state-of-the-art system combination method for machine translation (MT) is the word-based combin...
This paper describes a recently developed method for computing a consensus translation from the outp...
Combining Outputs from Machine Translation Systems By Fahim A. Salim Supervised by: Ing. Zdenek Zabo...
Confusion network decoding has been the most successful approach in combining out-puts from multiple...
Different machine translation engines can be remarkably dissimilar not only with re-spect to their t...
Current MT systems, whatever translation method they at present employ, do not reach an optimum outp...
Current MT systems, whatever translation method they at present employ, do not reach an optimum outp...
Given multiple translations of the same source sentence, how to combine them to produce a translatio...
In this paper, we propose a novel lattice-based MT combination methodology that we call Target-to-Ta...
Recently, confusion network decoding has been applied in machine translation system combination. Due...
Machine translation is a task in the field of natural language processing whose objective is to tran...
The state-of-the-art system combination method for machine translation (MT) is based on confusion ne...
Conventional confusion network based system combination for machine translation (MT) heavily relies ...
LIUM participated in the System Combi-nation task of the Fifth Workshop on Sta-tistical Machine Tran...
Abstract The state-of-the-art system combination method for machine translation (MT) is the word-bas...
The state-of-the-art system combination method for machine translation (MT) is the word-based combin...
This paper describes a recently developed method for computing a consensus translation from the outp...
Combining Outputs from Machine Translation Systems By Fahim A. Salim Supervised by: Ing. Zdenek Zabo...
Confusion network decoding has been the most successful approach in combining out-puts from multiple...
Different machine translation engines can be remarkably dissimilar not only with re-spect to their t...
Current MT systems, whatever translation method they at present employ, do not reach an optimum outp...
Current MT systems, whatever translation method they at present employ, do not reach an optimum outp...
Given multiple translations of the same source sentence, how to combine them to produce a translatio...
In this paper, we propose a novel lattice-based MT combination methodology that we call Target-to-Ta...
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