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Professional summarizers often reuse original documents to generate summaries. The task of summary sentence decomposition is to deduce whether a summary sentence is constructed by reusing the origina...
Broad Phonetic Class Recognition in a Hidden Markov Model Framework Using Extended Baum-Welch Transformations.
Although initially introduced and studied in the late 1960s and early 1970s, statistical methods ofMarkov source or hidden Markov modeling have become increasingly popular in the last several years. T...
When investigating the applicability and effectiveness of HMMs in Chinese segmentation and tagging, we propose a general framework for related extensions to HMMs, which accounts for contextual informa...
This paper presents a unified approach for Chinese lexical analysis using hierarchical hidden Markov model (HHMM), which aims to incorporate Chinese word seg-mentation, Part-Of-Speech tagging, dis-amb...
the co-articulation is one of the main reasons that makes the speech recogn ition difficult. However, the traditional Hidden Markov Models(HMM) can not model the co-articulation, because they depend ...

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