International Journal of Computer Applications · 2012 · 15 citations · 14 references
ComputingComputer ScienceEnglishNatural Language ProcessingTranslation TheoryTranslator TrainingLanguage ModelingMachine TranslationMobile-assisted Language LearningTranslation TechnologyPhrase-based Machine TranslationSpeech-to-text TranslationStatistical Machine TranslationTranslation Quality EstimationTranslation Quality Metrics
In this paper by utilizing the capabilities of modern ubiquitous operating systems we introduce a comprehensive framework for a ubiquitous translation and language learning environment for English to Sanskrit Machine Translation. We present an application for learning Sanskrit characters, sentences and English Sanskrit translation. For the implementation, we have used the open-source Android platform on the Samsung Mini2440, a state-of-the-art development board. We present our current state of implementation, the architecture of our framework,and the findings we have gathered so far. In addition to this, here we describes the Phrase-Based Statistical Machine Translation Decoder for English to Sanskrit translation in ubiquitous environment. Our goal is to improve the translation quality by enhancing the translation table and by preprocessing the Sanskrit language text .
14