Multilingual text classification using deep learning
Abstract
Every living organism shares a common property to interact whether it is other animal or human being. To interact everyone use some kind of language. It might be a direct language like English, Marathi, Hindi or it can be signed language which includes some symbols or signs or gestures. Moral of the discussion is that for any type of communication the most important channel is language and for interchanging the information the most important thing recognition and understands of the language. Today with the help of technology human have made the non-living things like machines able to interact and speak. Mostly, the languages which are universally acceptable like English can be considered for normal mode of recognition by the machine which we can call it as Monolingual understanding or recognition but when we consider the diversity of languages that is used in entire world, we can imagine the complexity of the implementation. The main concern of proposed title is to focus on exploration of multilingual classification for regional languages like Marathi, Hindi; English to a better extend by using one of the most powerful ways of deep learning.
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