Abstract: Dependency parsing has become increasingly popular in natural language processing in recent years．Nevertheless,dependency parsing focused on traditional Mongolian has not attracted much attention．We investigated it with Maximum Spanning Tree (MST) based model on Traditional Mongolian dependency treebank (TMDT)．This paper briefly introduced traditional Mongolian along with TMDT,and discussesd the details of MST．Much emphasis was placed on the performance comparisons among eight kinds of features and their combinations in order to find a suitable feature representation．Evaluation result shows that the combination of Basic Unigram Features,Basic Bi-gram Features and C-C Sibling Features obtains the best performance．Our work establishes a baseline for dependency parsing of traditional Mongolian.

Key words: Traditional mongolian,Dependency parsing,Maximum spanning tree,Natural language processing