Computational linguistics and talking robots

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Building a talking robot necessitates a theory of natural language communication, while demonstrating such a theory through a talking robot serves as a computational verification. The author presents a theoretical approach by introducing an artificial cognitive agent with language as a software system called database semantics (DBS). This approach allows for a focus on completeness in function and data coverage without the constraints of hardware engineering. The software components of DBS aim for thoroughness in word recognition, syntactic-semantic interpretation, and inferencing, postponing the procedural implementation of basic concepts. The author begins by exploring the universals of natural language and explaining the Database Semantics approach. In Part I, key issues in natural language communication are examined, including the use of external surfaces, the communication cycle, memory structure, autonomous control, and learning. Part II delves into content coding, addressing semantic relations of structure, simultaneous content amalgamation, graph-theoretical considerations, and computing perspectives in both dialogue and text. The book concludes with a chapter summarizing the findings, a bibliography, and an index. This work will benefit researchers, graduate students, and engineers in artificial intelligence and robotics, particularly those focused on natural language processing.