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Proceedings of the workshop on Human Language Technology - HLT '94
In this paper, we propose a new stochastic language model that integrates local and global constraints effectively and describe a speechrecognition system basedon it. Theproposedlanguagemodel uses the dependencies within adjacent words as local constraints in the same way as conventional word N-gram models. To capture the global constraints between non-contiguous words, we take into account the sequence of the function words and that of the content words which are expected to represent,doi:10.3115/1075812.1075829 fatcat:l64tcw32lvdo7cxn3w7k6grlh4