Paper Details

India is multilingual country, in India people speak different dialect. Hence data present in differentdialect and structure gives rise to dialect as a barrier in information retrieval. In state like Maharashtra whereMarathi is the local dialect commonly used by the people, it gives rise to a non-adjustable environment for nonmarathi users to live in. Vital information on current happenings on village and taluka level published innewspaper, destination and their distances indicated by the sign boards, advertisements and shops/hotelsnames/other vital information presented with local language causes a major setback among Masses.Information can be present in form of text, speech and image translating this information helps for sharing ofinformation and ultimately information gain.The proposed system uses Image Processing and Machine AidedTranslation for overcoming the above problem. Image processing is used because we are taking images as inputand extracting useful information from it which has to be translated. Machine aided Translation helps totranslate Information displayed in one dialect to other language(in our case from marathi to english). We arepresenting the output not only in text format but also in speech. Currently System has been proposed for imageswhich can be extended to speech and voice in future. Also many other dialects can be incorpated for thebetterment of the user.

Prof. AbhaPathak, Anchal Kumari, Akanksha Prasad, Ashwini Topre, RutujaLondhe, “Hybrid machine translation from Marathi to English: A research evolution in machine translation”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 1, pp. 948-951, January 2018.