Evaluating Machine Translation Evaluation’s BLEU Metric for English to Hindi Language Machine Translation
نویسندگان
چکیده
Machine Translation Evaluation (MTE) has been widely recognized by the Machine Translation (MT) community. The main objective of MT is to break the language barrier in a multilingual nation like India. Evaluation of MT is required for Indian languages because the same MT is not works in Indian language as in European languages due to the language structure. So, there is a great need to develop appropriate evaluation metric for the Indian language MT. The present research work aims at studying the Evaluation of Machine Translation Evaluation’s BLEU Metric for English to Hindi for tourism domain. Keywords: MTE-Machine Translation Evaluation, MTMachine Translation, SVOSubjectVerb-Object, SOV-Subject-Object-Verb, Tr.-Tourism. India is a highly multilingual country with 22 constitutionally recognized languages. Even though, English is understood by less than 3% of Indian population. Hindi, which is official language of the country, is used by more than 400 million people. Therefore, MT assumes a much greater significance in breaking the language barrier within the country’s sociological structure. The main objective of MT is to break the language barrier in a multilingual nation like India. English is a highly positional language with rudimentary morphology, and default sentence structure as Subject-Verb-Object. Indian languages are highly inflectional, with a rich morphology, relatively free word order, and default sentence structure as Subject-Object-Verb. In addition, there are many stylistic differences. So the evaluation of MT is required for Indian languages because the same MT is not works in Indian language as in European languages. The same tools are not used directly because of the language structure. So, there is a great need to develop appropriate evaluation metric for the Indian language MT. Neeraj Tomer, Deepa Sinha, The International Journal of Computer Science & Applications (TIJCSA) ISSN – 2278-‐1080, Vol. 1 No. 6 August 2012
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