Linguistics for the age of AI

Author(s)

Bibliographic Information

Linguistics for the age of AI

Marjorie McShane and Sergei Nirenburg

The MIT Press, c2021

  • : hbk

Available at  / 6 libraries

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Note

Includes bibliographical references (p. [397]-414) and index

Summary: "An explantion of a knowledge-based system for creating computational agents with human-like language ability"-- Provided by publisher

Description and Table of Contents

Description

A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.

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