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A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics

Posted By: AvaxGenius
A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics

A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics by Roland Hausser
English | PDF(True) | 2006 | 365 Pages | ISBN : 354035476X | 2.6 MB

Everyday life would be easier if we could simply talk with machines instead of having to program them. Before such talking robots can be built, however, there must be a theory of how communicating with natural language works. This requires not only a grammatical analysis of the language signs, but also a model of the cognitive agent, with interfaces for recognition and action, an internal database, and an algorithm for reading content in and out. In Database Semantics, these ingredients are used for reconstructing natural language communication as a mechanism for transferring content from the database of the speaker to the database of the hearer.

Ontology of Communication: Agent-Based Data-Driven or Sign-Based Substitution-Driven?

Posted By: AvaxGenius
Ontology of Communication: Agent-Based Data-Driven or Sign-Based Substitution-Driven?

Ontology of Communication: Agent-Based Data-Driven or Sign-Based Substitution-Driven? by Roland Hausser
English | PDF | 2023 | 266 Pages | ISBN : 3031227387 | 7.7 MB

The book gives a comprehensive discussion of Database Semantics (DBS) as an agent-based data-driven theory of how natural language communication essentially works. In language communication, agents switch between speak mode, driven by cognition-internal content (input) resulting in cognition-external raw data (e.g. sound waves or pixels, which have no meaning or grammatical properties but can be measured by natural science), and hear mode, driven by the raw data produced by the speaker resulting in cognition-internal content.