A hybrid approach for word segmentation

Automatic word segmentation is the process of finding the most likely sequence of words from a sequence of characters without spaces. The central issues of the word segmentation process are the complexity and accuracy. This paper proposes a hybrid method for automatic word segmentation depending on a dictionary based approach, word-statistics and the length of the word. In comparison to the word segmentation using Maximum Length Descending Frequency and Entropy Rate method, the paper shows that the proposed method gives a better accuracy.