supported by the National Natural Science Foundation of China(No.11461141004,No.61271426,No.11504406,No.11590770,No.11590771,No.11590772,No.11590773,No.11590774);the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA06030100,No.XDA06030500,No.XDA06040603);National 863 Program(No.2015AA016306);National 973 Program(No.2013CB329302);the Key Science and Technology Project of the Xinjiang Uygur Autonomous Region(No.201230118-3)
In this paper, an hierarchical n-gram Language model(LM) combining words and characters is explored to improve the detection of Out-of-vocabulary(OOV) words in Mandarin Spoken term detection(STD).The hierarchical LM i...