Add to ORKGEvaluation of machine translation (MT) is a difficult task, both for humans, and using automatic metrics. The main difficulty lies in the fact that there is not one single correct translation, but many alternative good translation options
This report presents a description and tutorial on the IQMT Framework for Machine Translation Evalua...
Title: Measures of Machine Translation Quality Author: Matouš Macháček Department: Institute of Form...
An overview of research to date in human and automated machine translation (MT) evaluation (Elliott ...
Any scientific endeavour must be evaluated in order to assess its correctness. In many applied scien...
In this chapter a survey is given of ways in which the output of machine translation can be evaluate...
Evaluation of machine translation is one of the most important issues in this field. We have already...
Automatic evaluation of machine translation (MT) is based on the idea that the quality of the MT out...
Evaluation of MT evaluation measures is limited by inconsistent human judgment data. Nonetheless, ma...
We introduce the Machine Translation (MT) evaluation survey that contains both manual and automatic ...
Machine translation evaluation is a very important activity in machine translation development. Auto...
Evaluation measures for machine translation depend on several common methods, such as preprocessin...
Machine Translation (MT) systems are more complex to test than they appear to be at first, since man...
The exponential increase in communications in many different languages brought about by globalizatio...
In this paper, we take a closer look at the MT evaluation process from a glass-box perspective using...
Human evaluations of machine translation are extensive but expensive. Human eval-uations can take mo...
This report presents a description and tutorial on the IQMT Framework for Machine Translation Evalua...
Title: Measures of Machine Translation Quality Author: Matouš Macháček Department: Institute of Form...
An overview of research to date in human and automated machine translation (MT) evaluation (Elliott ...
Any scientific endeavour must be evaluated in order to assess its correctness. In many applied scien...
In this chapter a survey is given of ways in which the output of machine translation can be evaluate...
Evaluation of machine translation is one of the most important issues in this field. We have already...
Automatic evaluation of machine translation (MT) is based on the idea that the quality of the MT out...
Evaluation of MT evaluation measures is limited by inconsistent human judgment data. Nonetheless, ma...
We introduce the Machine Translation (MT) evaluation survey that contains both manual and automatic ...
Machine translation evaluation is a very important activity in machine translation development. Auto...
Evaluation measures for machine translation depend on several common methods, such as preprocessin...
Machine Translation (MT) systems are more complex to test than they appear to be at first, since man...
The exponential increase in communications in many different languages brought about by globalizatio...
In this paper, we take a closer look at the MT evaluation process from a glass-box perspective using...
Human evaluations of machine translation are extensive but expensive. Human eval-uations can take mo...
This report presents a description and tutorial on the IQMT Framework for Machine Translation Evalua...
Title: Measures of Machine Translation Quality Author: Matouš Macháček Department: Institute of Form...
An overview of research to date in human and automated machine translation (MT) evaluation (Elliott ...