Add to ORKGThis report presents a description and tutorial on the IQMT Framework for Machine Translation Evaluation based on `Human Likeness'. IQMT intends to offer a common workbench on which MT evaluation metrics can be robustly utilized and combined for the purpose of MT system development. Current version includes a rich set of metrics operating at different linguistic levels (lexical, shallow syntactic, syntactic, and shallow semantic)
The success of Transformer architecture has seen increased interest in machine translation (MT). The...
Most evaluation metrics for machine translation (MT) require reference translations for each sentenc...
The Framework for the Evaluation of Machine Translation, FEMTI, brings together the many disparate m...
This report presents a description and tutorial on the IQMT Framework for Machine Translation Evalua...
In this work we present the fundamentals of the IQMT frame-work for MT evaluation. IQMT offers a com...
Evaluation of machine translation (MT) is a difficult task, both for humans, and using automatic met...
This paper reports the results of an experiment in machine translation (MT) evaluation, designed to ...
Machine Translation (MT) systems are more complex to test than they appear to be at first, since man...
The DARPA MT evaluations of the early 1990s, along with subsequent work on the MT Scale, and the Int...
Machine translation evaluation is a very important activity in machine translation development. Auto...
This paper presents FEMTI, a web-based Framework for the Evaluation of Machine Translation in ISLE. ...
We introduce the Machine Translation (MT) evaluation survey that contains both manual and automatic ...
The DARPA MT evaluations of the early 1990s, along with subsequent work on the MT Scale, and the Int...
A number of approaches to Automatic MT Evaluation based on deep linguistic knowledge have been sugge...
Machine translation (MT) quality is evaluated through comparisons between MT outputs and the human t...
The success of Transformer architecture has seen increased interest in machine translation (MT). The...
Most evaluation metrics for machine translation (MT) require reference translations for each sentenc...
The Framework for the Evaluation of Machine Translation, FEMTI, brings together the many disparate m...
This report presents a description and tutorial on the IQMT Framework for Machine Translation Evalua...
In this work we present the fundamentals of the IQMT frame-work for MT evaluation. IQMT offers a com...
Evaluation of machine translation (MT) is a difficult task, both for humans, and using automatic met...
This paper reports the results of an experiment in machine translation (MT) evaluation, designed to ...
Machine Translation (MT) systems are more complex to test than they appear to be at first, since man...
The DARPA MT evaluations of the early 1990s, along with subsequent work on the MT Scale, and the Int...
Machine translation evaluation is a very important activity in machine translation development. Auto...
This paper presents FEMTI, a web-based Framework for the Evaluation of Machine Translation in ISLE. ...
We introduce the Machine Translation (MT) evaluation survey that contains both manual and automatic ...
The DARPA MT evaluations of the early 1990s, along with subsequent work on the MT Scale, and the Int...
A number of approaches to Automatic MT Evaluation based on deep linguistic knowledge have been sugge...
Machine translation (MT) quality is evaluated through comparisons between MT outputs and the human t...
The success of Transformer architecture has seen increased interest in machine translation (MT). The...
Most evaluation metrics for machine translation (MT) require reference translations for each sentenc...
The Framework for the Evaluation of Machine Translation, FEMTI, brings together the many disparate m...