AI Magazine

Magazine about artificial intelligence.

Articles from Vol. 18, No. 4, Winter

An Overview of Empirical Natural Language Processing
One of the biggest challenges in natural language processing is how to provide a computer with the linguistic sophistication necessary for it to successfully perform language-based tasks. This special issue presents a machine-learning solution to...
Automating Knowledge Acquisition for Machine Translation
How can we write a computer program to translate an English sentence into Japanese? Anyone who has taken a graduate-level course in AI knows the answer. First, compute the meaning of the English sentence; that is, convert it into logic or your favorite...
Corpus-Based Approaches to Semantic Interpretation in Natural Language Processing
Getting computer systems to understand natural language input is a tremendously difficult problem and remains a largely unsolved goal of Al. In recent years, there has been a flurry of research into empirical, corpus-based learning approaches to natural...
'Emperor AI, Where Is Your New Mind?' (Artificial intelligence)(Natural Language Processing)
Is AI dead as a science for investigating the nature of intelligence, or as suggested by Penrose (1989), is the emperor's mind actually hollow? Should AI be used simply to superficially describe those studies that produce intelligent programs? Several...
Empirical Methods in Information Extraction
Most corpus-based methods in natural language processing (NLP) were developed to provide an arbitrary text-understanding application with one or more general-purpose linguistic capabilities, as evidenced by the articles in this issue of AI Magazine....
Linguistic Knowledge and Empirical Methods in Speech Recognition
Automatic speech recognition (ASR) is one of the fastest growing and commercially most promising applications of natural language technology. Speech is the most natural communicative medium for humans in many situations, including applications such...
Machine-Learning Research; Four Current Directions
* Machine-learning research has been making great progress in many directions. This article summarizes four of these directions and discusses some current open problems. The four directions are (1) the improvement of classification accuracy by learning...
Statistical Techniques for Natural Language Parsing
Syntactic parsing is the process of assigning a phrase marker to a sentence, that is, the process that given a sentence such as "the dog ate" produces a structure like that in figure 1. In this example, I adopt the standard abbreviations: s for sentence,...
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