By Roland R. Hausser
The excellent of utilizing human language to regulate machines calls for a realistic concept of normal language verbal exchange that incorporates grammatical research of language symptoms, plus a version of the cognitive agent, with interfaces for reputation and motion, an inner database, and an set of rules for analyzing content material out and in. This publication deals a useful framework for theoretical research of ordinary language communique and for sensible functions of traditional language processing.
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Extra info for A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics
If VAR’ is np’, then VAR is np, sn, or pn. 8 is of a preliminary kind. It was used in NEWCAT’86 for the automatic time-linear analysis of 221 syntactic constructions of German and 114 of English, complete with LISP source code. It was also used in CoL’89 for 421 syntactic–semantic constructions of English with a sign-oriented, hierarchical semantic analysis. 12 13 There is a convention in Database Semantics that constants are written in lowercase Roman letters, while variables are written in uppercase Roman letters or in lowercase Greek letters.
Indexicals occur as adjectives and nouns. Names occur only as nouns. 9 R ELATION BETWEEN THE KINDS OF SIGN AND THE PARTS OF SPEECH name Fido indexical this here symbol dog black see noun adj. verb The kind of sign that is the most general with respect to the parts of speech is the symbol, while the name is the most restricted. Conversely, the part of speech that is the most general with respect to different kinds of sign is the noun (object, argument), while the verb (relation, functor) is the most restricted.
7 The agent relates the sentence Julia sleeps to the referent provided by contextual recognition. The agent, the language expression, and the referent with its property of sleeping are all part of the real world. The real world is treated as given and there is no attempt to model it set-theoretically or in any other way. Instead, the goal of Database Semantics is to model the agent. This includes the agent’s recognition of the real world at the language and the context level, as well as the agent’s actions – externally relative to the real world, but also internally in the form of such procedures as free association, inference, derivation of plans, wishes, etc.
A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics by Roland R. Hausser