Abstract
There exist numerous systems and applications that facilitated translation from English to numerous other global and Indian languages. For many in the Indian populace habited in the remote regions, a basic fluency in the English language, which is now a global necessity, is challenging. Furthermore, for many tourists visiting the country, a translation mechanism becomes essential, especially when it comes to signboards and banners on the roadside. Hence, there is plenty of research and work that has been carried out in this field. There exist many Transfer based machine translation systems such as the MANTRA MT system, Shakti MT system, MATRA MT system, etc. However there is no significant work undertaken when it comes to the Hindi script, and its translation to the English language. This paper places its focus on developing a translation tool using the transfer based MT mechanism. The system takes an input sentence in the Hindi language, analyses individual word tokens within the structure of the sentence and uses grammar rules to generate the final translated sentence in English. For rule-based/corpus-based machine translation elaborate knowledge of language is required. For the proposed technique knowledge of lexicons is not required. Instead knowledge of source and target language is required.
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Natu, I., Iyer, S., Kulkarni, A., Patil, K., Patil, P. (2018). Text Translation from Hindi to English. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 905. Springer, Singapore. https://doi.org/10.1007/978-981-13-1810-8_48
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DOI: https://doi.org/10.1007/978-981-13-1810-8_48
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