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MI-Trigger-based Language Modeling
( Guodong Zhou ),( Kimteng Lua ) 한국언어정보학회 1998 국제 워크샵 Vol.1998 No.-
This paper proposes a new MI0Trigger-based modeling approach to capture the preferred relationships between words over a short or long distance. It is implemented by the concept of trigger pair, which is selected by average mutual information and measured by mutual information. Both the distance-independent(DI) and distance-dependent(DD) MI-Trigger-based models are constructed within a window of a size from 1 to 10. It is found that the DD MI-trigger models have better performance than the DI MI-trigger models for the same window size and it is better to model the preferred relationships in a distance-dependent way. It is also found that the number of the trigger pairs in an MI-rigger model can be kept to a reasonable size without Iosing too much of its modeling power. Finally, it is concluded that the preferred relationships between words are useful to language disambiguation and can be modeled efficiently by the MI-Trigger-based modeling approach.
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