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LEARNING DIALOGUE COUNTRIES AND LANGUAGE MODELS OF THE INFORMATION SYSTEM CONCERNED
LEARNING DIALOGUE COUNTRIES AND LANGUAGE MODELS OF THE INFORMATION SYSTEM CONCERNED
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机译:所关注的信息系统的学习对话国家和语言模型
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摘要
In this invention dialogue states for a dialogue model are created using a training corpus of example human-human dialogues. Dialogue states are modelled at the turn level rather than at the move level, and the dialogue states are derived from the training corpus. The range of operator dialogue utterances is actually quite small in many services and therefore may be categorized into a set of predetermined meanings. This is an important assumption which is not true of general conversation, but is often true of conversations between telephone operators and people. Phrases are specified which have specific substitution and deletion penalties, for example the two phrases "I would like to" and "can I" may be specified as a possible substitution with low or zero penalty. Thus allows common equivalent phrases are given low substitution penalties. Insignificant phrases such as 'erm' are given low or zero deletion penalties.
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