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One reason for the wide variety of views on many subjects in computational linguistics (such as parsing) is the diversity of objectives which lead people to do research in this area. Some researchers are motivated primarily by potential applications - the development of natural language interfaces for computer systems. Others are primarily concerned with the psychological processes which underlie human language, and view the computer as a tool for modeling and thus improving our understanding of these processes. . | PARSING Ralph Grishman Dept of Computer Science New York University New York N. Y. One reason for the wide variety of views on many subjects in computational linguistics such as parsing is the diversity of objectives which lead people to do research in this area. Some researchers are motivated primarily by potential applications - the development of natural language interfaces for computer systems. Others are primarily concerned with the psychological processes which underlie human language and view the computer as a tool for modeling and thus improving our understanding of these processes since as is often observed man is our best example of a natural language processor these two groups do have a strong commonality of research interest. Nonetheless their divergence of objective must lead to differences in the way they regard the component processes of natural language understanding. If - when human processing is better understood - it is recognized that the simulation of human processes is not the most effective way of constructing a natural language interface there may even be a deliberate divergence in the processes themselves. My work and this position paper reflect an applications orientation those with different research objectives will come to quite different conclusions. WHY PARSE One of the tasks of computer science in general and of artificial intelligence in particular is that of coping in a systematic fashion with systems of high complexity. Natural language interfaces certainly fit that characterization. A natural language interface must analyze input sequences communicate with some underlying system data base robot etc. and generate responses. In the transition from the natural language input to the language of the underlying system there is in principle no need to make explicit reference to any intermediate structures we could write our interface as a huge set of rules which map directly from input sequences into our target language. We know full .