Add to ORKGIn this chapter a survey is given of ways in which the output of machine translation can be evaluated. The methodologies presented include quality assessment by human evaluators, automated evaluation techniques, evaluation on the basis of an error analysis and on the basis of post-editing time and they are put to the test on the basis of a sample corpus
P i t tsburgh, PA 15213 Topical Paper: machine translation A methodology is presented for coml)onen...
Evaluation of MT evaluation measures is limited by inconsistent human judgment data. Nonetheless, ma...
Machine translation evaluation methods are highly necessary in order to analyze the performance of t...
In this chapter a survey is given of ways in which the output of machine translation can be evaluate...
Evaluation of machine translation (MT) is a difficult task, both for humans, and using automatic met...
Any scientific endeavour must be evaluated in order to assess its correctness. In many applied scien...
Evaluation of machine translation is one of the most important issues in this field. We have already...
In this paper, we take a closer look at the MT evaluation process from a glass-box perspective using...
Evaluation measures for machine translation depend on several common methods, such as preprocessin...
In this paper we present a corpus-based method to evaluate the translation quality of machine transl...
This paper describes a short-term survey and evaluation project that covered a large number of machi...
Machine translation (MT) is evolving fast, and there is no one-size-fits-all solution. In order to c...
Automatic evaluation of output quality for machine translation systems is a difficult task. The Inst...
In this paper, I present a method for the evaluation of the quality of translated text, namely, a tr...
The exponential increase in communications in many different languages brought about by globalizatio...
P i t tsburgh, PA 15213 Topical Paper: machine translation A methodology is presented for coml)onen...
Evaluation of MT evaluation measures is limited by inconsistent human judgment data. Nonetheless, ma...
Machine translation evaluation methods are highly necessary in order to analyze the performance of t...
In this chapter a survey is given of ways in which the output of machine translation can be evaluate...
Evaluation of machine translation (MT) is a difficult task, both for humans, and using automatic met...
Any scientific endeavour must be evaluated in order to assess its correctness. In many applied scien...
Evaluation of machine translation is one of the most important issues in this field. We have already...
In this paper, we take a closer look at the MT evaluation process from a glass-box perspective using...
Evaluation measures for machine translation depend on several common methods, such as preprocessin...
In this paper we present a corpus-based method to evaluate the translation quality of machine transl...
This paper describes a short-term survey and evaluation project that covered a large number of machi...
Machine translation (MT) is evolving fast, and there is no one-size-fits-all solution. In order to c...
Automatic evaluation of output quality for machine translation systems is a difficult task. The Inst...
In this paper, I present a method for the evaluation of the quality of translated text, namely, a tr...
The exponential increase in communications in many different languages brought about by globalizatio...
P i t tsburgh, PA 15213 Topical Paper: machine translation A methodology is presented for coml)onen...
Evaluation of MT evaluation measures is limited by inconsistent human judgment data. Nonetheless, ma...
Machine translation evaluation methods are highly necessary in order to analyze the performance of t...