语言知识库的规模和质量决定了自然语言处理系统的成败。
The scale and quality of the knowledge-base decides the success or failure of the natural language processing system.
介绍了自然语言处理系统中事件类名词耦合的一种处理方法。
Primarily introduced a kind of method of the coupling processing of event noun in NLP systems.
自然语言处理系统的运行速度对于系统本身的开发是至关重要的。
The run speed of a system of natural language processing is an extremely important bearing on developing the system itself.
目前的自然语言处理系统大多是基于人类语言的句法、语义理论之上的。
Currently most natural language processing systems are based on syntactic and semantic theories of human language.
双语词汇的好坏直接影响到机器翻译、跨语言检索等自然语言处理系统的性能。
Binlingual vocabulary has a direct influence on the performance of nature language processing system such as machine translation, cross-language information retrieval.
在这篇文章中，我们强调了机器词典对于机器翻译等自然语言处理系统的重要意义。
We emphasize that machine dictionary is important for machine translation systems and other natural language processing systems in this paper.
在自然语言处理系统的应用过程中，很多系统允许用户自由挂接一部或多部领域词典。
In the applications of Natural Language Processing, many systems allow the users use one or more domain specific lexicons.
在自然语言处理系统(包括机器翻译系统)中，语法、语义信息词典是必不可少的构件。
In any NLP systems, including that of MT, syntactic and semantic information dictionary is an essential component.
在自然语言处理系统(包括机器翻译系统)中，语法、语义信息词典是必不可少的构件。
In any NLP systems, including that of MT, syntactic and semantic information dictionary is an essential component.
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