本文讨论自然语言处理的计算模型。目前已经存在有各种类型的语言计算模型,如分析模型、概率统计模型、混合模型等,这些模型各具特色,并存在其自身的局限性。自然语言处理作为一个不适定问题,我们将讨论求解这类问题的本质困难,面临的挑战,以及解决这些困难的途径。
Abstract
In this paper, we will discuss the computational models of natural language processing. There have been several kinds of computational models such as analytical model, statistical model, hybrid model, etc; each has its own characteristics and limitations. As an ill-posed problem, we’ll discuss what the essential hardness the natural language processing has, what challenge we will confront with, and what measures we’ll adopted to solve the difficulty.
关键词
人工智能 /
自然语言处理 /
计算模型 /
分析模型 /
概念统计模型 /
混合模型 /
不适定问题
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Key words
artificial intelligence /
natural language processing /
computational model /
analytical model /
statistical model /
hybrid model /
ill-posed problem
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参考文献
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脚注
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基金
国家自然科学基金资助项目(60621062);国家973资助项目(2003CB317007,2004CB318108)
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