Evaluation of machine translation is one of the most important issues in this field. We have already proposed a quantitative evalua-tion of machine translation system. The method was roughly that an example sentence in Japanese is machine translated into English, and then into Japanese using several systems, and that the comparison of output Japanese sentences with the original Japanese sentence is done for the word identification, the correctness of the modification, the syntactic dependency, and the parataxis. By calculating the score, we could quantitatively evaluate the English machine translation. However, the extraction of word identification etc. was done by human, and the fact affects the correctness of evaluation. In order to solve...
We report on various approaches to automatic evaluation of machine translation quality and describe ...
The exponential increase in communications in many different languages brought about by globalizatio...
As the performance of machine translation has improved, the need for a human-like automatic evaluati...
Any scientific endeavour must be evaluated in order to assess its correctness. In many applied scien...
Evaluation of machine translation (MT) is a difficult task, both for humans, and using automatic met...
The quality of a sentence translated by a machine translation (MT) system is dif-ficult to evaluate....
We introduce the Machine Translation (MT) evaluation survey that contains both manual and automatic ...
Evaluation measures for machine translation depend on several common methods, such as preprocessin...
u.ac.jp We have evaluated the two-stage machine translation (MT) sys-tem. The first stage is a state...
Title: Measures of Machine Translation Quality Author: Matouš Macháček Department: Institute of Form...
Human evaluations of machine translation are extensive but expensive. Human eval-uations can take mo...
Constructing a classifier that distinguishes machine translations from human transla-tions is a prom...
Automatic evaluation of output quality for machine translation systems is a difficult task. The Inst...
In this chapter a survey is given of ways in which the output of machine translation can be evaluate...
Despite the linguistic diversity, communication is important for economic and social growth. But it ...
We report on various approaches to automatic evaluation of machine translation quality and describe ...
The exponential increase in communications in many different languages brought about by globalizatio...
As the performance of machine translation has improved, the need for a human-like automatic evaluati...
Any scientific endeavour must be evaluated in order to assess its correctness. In many applied scien...
Evaluation of machine translation (MT) is a difficult task, both for humans, and using automatic met...
The quality of a sentence translated by a machine translation (MT) system is dif-ficult to evaluate....
We introduce the Machine Translation (MT) evaluation survey that contains both manual and automatic ...
Evaluation measures for machine translation depend on several common methods, such as preprocessin...
u.ac.jp We have evaluated the two-stage machine translation (MT) sys-tem. The first stage is a state...
Title: Measures of Machine Translation Quality Author: Matouš Macháček Department: Institute of Form...
Human evaluations of machine translation are extensive but expensive. Human eval-uations can take mo...
Constructing a classifier that distinguishes machine translations from human transla-tions is a prom...
Automatic evaluation of output quality for machine translation systems is a difficult task. The Inst...
In this chapter a survey is given of ways in which the output of machine translation can be evaluate...
Despite the linguistic diversity, communication is important for economic and social growth. But it ...
We report on various approaches to automatic evaluation of machine translation quality and describe ...
The exponential increase in communications in many different languages brought about by globalizatio...
As the performance of machine translation has improved, the need for a human-like automatic evaluati...