Abstract
Word completion and word prediction are two important phenomena in typing that benefit users who type
using keyboard or other similar devices. They can have profound impact on the typing of disable people.
Our work is based on word prediction on Bangla sentence by using stochastic, i.e. N-gram language model
such as unigram, bigram, trigram, deleted Interpolation and backoff models for auto completing a sentence
by predicting a correct word in a sentence which saves time and keystrokes of typing and also reduces
misspelling. We use large data corpus of Bangla language of different word types to predict correct word
with the accuracy as much as possible. We have found promising results. We hope that our work will
impact on the baseline for automated Bangla typing
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