Since the dawn of the age of computers, researchers have been pushing the limits of available processing power to tackle the formidable challenge of developing software that can understand ordinary human language. At the forefront of this quest for the past fifty years, Martin Kay has been a constant source of new algorithms which have proven fundamental to progress in computational linguistics.Collected Papers of Martin Kay, the first comprehensive collection of his works to date, opens a window into the growth of an increasingly important field of scientific research and development.
Dan Flickingeris project manager of the Linguistic Grammars Online Project at the Center for the Study of Language and Information, Stanford University.
Stephan Oepenis professor in computational linguistics at the University of Oslo and senior researcher at the Center for the Study of Language and Information, Stanford University.
Foreword
Acknowledgements
1 Introduction
2 A Parsing Procedure
3 Rules of Interpretation
4 The Logic of Cognate Recognition in Historical Linguistics
5 Natural Language in Computer Form
with Theodore Ziehe
6 The Tabular Parser
7 Experiments with a Powerful Parser
8 From Semantics to Syntax
9 Computational Linguistics at RAND—1967
10 A Computer System to Aid the Linguistic Field Worker
11 Computational Competence and Linguistic Performance
12 Performance Grammars
13 The MIND Translation System: A Study in Man-Machine Collaboration
with R. Bisbey
14 The MIND System
15 Automatic Translation of Natural Languages
16 Morphological Analysis
17 Syntactic Processing and Functional Sentence Perspective
18 Overview of Computer Aids in Translation
19 The Proper Place of Men and Machines in Language l3C