num_pages: 448
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.
language: English
title: Linguistics for the Age of AI
publisher: The MIT Press