Context-Based Word Prediction and Classification

摘要

This paper presents a new approach for word prediction problem. Word prediction is a natural language processing problem that tries to predict the correct word in a given context. Word completion utilities, writing aids, and language translation are among the most common applications of word prediction. In this paper, we describe a new method to predict the correct word given its context. A data mining tool is used as a classification mean to predict the correct word in the given context. The method has been implemented; the testing results are promising. The approach requires a very small training text size compared with similar methods to produce an accuracy that approaches 93% correct predictions.