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期刊论文
A MIXED APPROACH TO SPOKEN LANGUAGE UNDERSTANDING
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A Natural User Interface (NUI), where a user can type or speak a request, is a good complement to the well-known Graphical User Interface (GUI). Accurately extracting user intent from such typed or spoken queries is a very difficult challenge. Statistical and knowledge-based are the two opposite kinds of possible approaches. Both of them have advantages and disadvantages. This paper presents a mixed approach to spoken language understanding that tries to make best use of the both algorithms. The method was test with real data from users, and resulted in a task error rate of 1.94% and a semantic concept error rate of 5.73%.
【免责声明】以下全部内容由[刘建毅]上传于[2008年03月21日 16时49分43秒],版权归原创者所有。本文仅代表作者本人观点,与本网站无关。本网站对文中陈述、观点判断保持中立,不对所包含内容的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考,并请自行承担全部责任。
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