This paper presents evaluation methodology for English to Sinhala machine tran slation system. The English to Sinhala machine translation system has been developed by using Multi Agent Approach and powered through the concept of “Varanegeema”. Translation system works through the communication among nine agents namely English Morphological Analyzer Agent, English Parser Agent, English to Sinhala Base Word Translator Agent, Sinhala Morphological Generator Agent, Sinhala Parser agent, Transliteration agent, Intermediate Editor agent, Message Space Agent and Request agent. The evaluation was conducted through three steps. ...
Machine translation systems use various approaches including human-assisted, rule-based, example-bas...
We introduce the Machine Translation (MT) evaluation survey that contains both manual and automatic ...
This paper proposes a new evaluation approach for sign language machine translation (SLMT). It aims ...
During the fast sixty years, many machine translation systems have been developed through the severa...
Despite the linguistic diversity, communication is important for economic and social growth. But it ...
Machine translation is a cost-effective, quick, and widely accepted automated language translation m...
Grammatically correct target language word generation is a challenging task in any machine translat...
Machine translation turns out to be an inherently complex process requiring serious attention to mor...
Machine Translation in India is relatively young. The earliest efforts date from the late 80s and ea...
The Machine Translation has been a branch of Natural Language Processing, which comes under the broa...
This study aims to evaluate the translation quality of two machine translation systems in translatin...
The exponential increase in communications in many different languages brought about by globalizatio...
Evaluation of machine translation is one of the most important issues in this field. We have already...
Nowadays people are used to read English text online and sometimes prefer to see the meaning of the ...
Statistical machine translation method is one of the most promising and efficient method to perform ...
Machine translation systems use various approaches including human-assisted, rule-based, example-bas...
We introduce the Machine Translation (MT) evaluation survey that contains both manual and automatic ...
This paper proposes a new evaluation approach for sign language machine translation (SLMT). It aims ...
During the fast sixty years, many machine translation systems have been developed through the severa...
Despite the linguistic diversity, communication is important for economic and social growth. But it ...
Machine translation is a cost-effective, quick, and widely accepted automated language translation m...
Grammatically correct target language word generation is a challenging task in any machine translat...
Machine translation turns out to be an inherently complex process requiring serious attention to mor...
Machine Translation in India is relatively young. The earliest efforts date from the late 80s and ea...
The Machine Translation has been a branch of Natural Language Processing, which comes under the broa...
This study aims to evaluate the translation quality of two machine translation systems in translatin...
The exponential increase in communications in many different languages brought about by globalizatio...
Evaluation of machine translation is one of the most important issues in this field. We have already...
Nowadays people are used to read English text online and sometimes prefer to see the meaning of the ...
Statistical machine translation method is one of the most promising and efficient method to perform ...
Machine translation systems use various approaches including human-assisted, rule-based, example-bas...
We introduce the Machine Translation (MT) evaluation survey that contains both manual and automatic ...
This paper proposes a new evaluation approach for sign language machine translation (SLMT). It aims ...