Mongolian Word Segmentation Based on Statistical Language Model

Based on the analysis of Mongolian segmentation technique and the rules used as the foundation of word segmentation,a hybrid word segmentation method is proposed.It uses Mongolian statistical language model to eliminate the ambiguity in Mongolian word segmentation.A POS language model and a Skip-N language model are used,and an experiment system is thus created.The experimental results are better than those of the system based on rules.