Computational Linguistics and Talking Robots

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Building a talking robot necessitates a theory of natural language communication, while demonstrating this theory through a talking robot serves as a computational verification. The author presents an artificial cognitive agent with language as a software system called database semantics (DBS), focusing on a theoretical approach that avoids the complexities of hardware development. This allows for a comprehensive exploration of functions and data coverage in word recognition, syntactic-semantic interpretation, and inferencing, with procedural implementation to be addressed later. The author begins by examining the universals of natural language and introduces the Database Semantics approach. In Part I, key issues of natural language communication are explored, 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 dialogue and text. The book concludes with a final chapter, bibliography, and index, making it a valuable resource for researchers, graduate students, and engineers in artificial intelligence and robotics, particularly those focused on natural language processing.