Automatic evaluation metrics for Machine Translation (MT) systems, such as BLEU or NIST, are now well established
Machine Translation is the challenging problem in Indian languages. The main goal of MT research are...
This paper describes a machine translation metric submitted to the WMT14 Metrics Task. It is a simpl...
We explored novel automatic evaluation measures for machine translation output oriented to the synta...
The gold standard for measuring machine translation quality is the rating of candidate sentences by ...
Automatic evaluation metrics for Machine Translation (MT) systems, such as BLEU and the related NIST...
Machine translation translates a text from one language to another, while text simplification conver...
Automatic evaluation metrics for Machine Translation (MT) systems, such as BLEU and the related NIST...
This paper proposes a new automatic machine translation evaluation metric: AMBER, which is based on ...
Meteor is an automatic metric for Machine Translation evaluation which has been demonstrated to have...
Automatic tools for machine translation (MT) evaluation such as BLEU are well established, but have ...
This paper describes a simple evaluation metric for MT which attempts to overcome the well-known def...
This paper describes a simple evaluation metric for MT which attempts to overcome the well-known def...
Machine Translation (MT) is the practice of using computational methods to convert words from one na...
Translation systems are generally trained to optimize BLEU, but many alternative metrics are availab...
Evaluation of Machine Translation (MT) technology is often tied to the requirement for tedious manua...
Machine Translation is the challenging problem in Indian languages. The main goal of MT research are...
This paper describes a machine translation metric submitted to the WMT14 Metrics Task. It is a simpl...
We explored novel automatic evaluation measures for machine translation output oriented to the synta...
The gold standard for measuring machine translation quality is the rating of candidate sentences by ...
Automatic evaluation metrics for Machine Translation (MT) systems, such as BLEU and the related NIST...
Machine translation translates a text from one language to another, while text simplification conver...
Automatic evaluation metrics for Machine Translation (MT) systems, such as BLEU and the related NIST...
This paper proposes a new automatic machine translation evaluation metric: AMBER, which is based on ...
Meteor is an automatic metric for Machine Translation evaluation which has been demonstrated to have...
Automatic tools for machine translation (MT) evaluation such as BLEU are well established, but have ...
This paper describes a simple evaluation metric for MT which attempts to overcome the well-known def...
This paper describes a simple evaluation metric for MT which attempts to overcome the well-known def...
Machine Translation (MT) is the practice of using computational methods to convert words from one na...
Translation systems are generally trained to optimize BLEU, but many alternative metrics are availab...
Evaluation of Machine Translation (MT) technology is often tied to the requirement for tedious manua...
Machine Translation is the challenging problem in Indian languages. The main goal of MT research are...
This paper describes a machine translation metric submitted to the WMT14 Metrics Task. It is a simpl...
We explored novel automatic evaluation measures for machine translation output oriented to the synta...