Abstract
Natural Language Processing (NLP) has many applications such as Database user interfaces, Machine Translation, Knowledge Acquisition and Report Abstraction. Several approaches have been used in dealing with NLP. This paper describes an ongoing research project about understanding natural language text using object-oriented techniques. It starts with a brief introduction to the object-oriented paradigm and natural language processing. A description of the project, its different modules, and an example of text understanding are presented. The uses of object-oriented techniques in knowledge representation and morphological analysis are described.
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Aref, M.M. (2000). Object Orientation in Natural Language Processing. In: Logananthara, R., Palm, G., Ali, M. (eds) Intelligent Problem Solving. Methodologies and Approaches. IEA/AIE 2000. Lecture Notes in Computer Science(), vol 1821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45049-1_71
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DOI: https://doi.org/10.1007/3-540-45049-1_71
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