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A linguistic analyzer based on KCTs (keyword classification trees) was trained on sentences from the ATIS (Air Travel Information System) air travel task and incorporated into the system (CHANEL) built at CRIM (Centre de Recherche Informatique de Montreal) for the Nov. 1992 ATIS benchmarks. Word sequences were
This work presents a type of method to process automatic summarization. And the method is a kind of trainable summarizer, in which the several characteristics considered such as sentence position, positive keyword, the center of negative keyword, title with similar sentence, sentence included in name entity, sentence
General purpose computation based on GPU is a hot topic for research in recent years. The paper presents the parallel implementation of Viterbi algorithm on GPU based on features of GPU and characteristics of Viterbi algorithm in keyword spotting system. The results of examination by using NVIDIA 9600 GT GPU show that
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