A Unique Word Prediction System for Text Entry in Hindi

Word prediction is very effective technique for improving efficiency of entering text. Current word prediction systems predict a word if and only if a user has not made mistake in the starting of some characters of the word. This is more applicable for Indian languages, which have a large set of characters, alphabets, words with complex characters and inflections, phonetically similar sets of characters, etc. Therefore, there is a requirement for development of better word prediction. For existing systems, till now "N-Gram" approach is used. N-Gram approach considers only sequence of words in given sentence. It doesn't consider structure and grammar of the sentence. New approach is to use "Syntactic N-Gram" approach. Sn-Grams are differing from traditional n-grams in the way of which elements are considered as the neighbors. Sn-Grams consider Grammar in making prediction. So they are less arbitrary in making predictions.