EtranS- A Complete Framework for English To Sanskrit Machine Translation

التفاصيل البيبلوغرافية
العنوان: EtranS- A Complete Framework for English To Sanskrit Machine Translation
المؤلفون: A. Jain, Promila Bahadur, Durg Singh Chauhan
المصدر: International Journal of Advanced Computer Science and Applications. 2
بيانات النشر: The Science and Information Organization, 2012.
سنة النشر: 2012
مصطلحات موضوعية: Interlingua, General Computer Science, Machine translation, Computer science, computer.software_genre, Machine translation software usability, Example-based machine translation, Interlingual machine translation, Rule-based machine translation, Translation studies, Evaluation of machine translation, Sanskrit, Dynamic and formal equivalence, business.industry, Transfer-based machine translation, language.human_language, Universal Networking Language, Cache language model, language, Computer-assisted translation, Synchronous context-free grammar, Artificial intelligence, business, computer, Sentence, Natural language processing
الوصف: Machine Translation has been a topic of research from the past many years. Many methods and techniques have been proposed and developed. However, quality of translation has always been a matter of concern. In this paper, we outline a target language generation mechanism with the help of language English-Sanskrit language pair using rule based machine translation technique [1]. Rule Based Machine Translation provides high quality translation and requires in depth knowledge of the language apart from real world knowledge and the differences in cultural background and conceptual divisions. A string of English sentence can be translated into string of Sanskrit ones. The methodology for design and development is implemented in the form of software named as “EtranS”.
تدمد: 2156-5570
2158-107X
DOI: 10.14569/specialissue.2012.020107
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::cbef4983e4c1f39e5e8bb669fda7face
https://doi.org/10.14569/specialissue.2012.020107
Rights: OPEN
رقم الانضمام: edsair.doi...........cbef4983e4c1f39e5e8bb669fda7face
قاعدة البيانات: OpenAIRE
الوصف
تدمد:21565570
2158107X
DOI:10.14569/specialissue.2012.020107