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- W15409101 abstract "We are developing a theory of machine learning of natural language applicable to various sublanguages used in special domains. For several years our work concentrated on robotic constructions in elementary assembly actions. Recently we have turned to physics word problems. The general axioms of the theory stated in section 2 are applicable without change to both of these rather different applications. We also give in Section 2 some detailed grammatical results for the robotic environment based on a test set of 460 commands. In Section 3 we outline and illustrate our current research on physics word problems." @default.
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- W15409101 date "1995-01-01" @default.
- W15409101 modified "2023-10-12" @default.
- W15409101 title "Machine Learning of Natural Language: Problems and Prospects" @default.
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