文档介绍：Table of Contents
Preface
Acknowledgments
Ch. 1 Statistical Methods and Linguistics 1
Ch. 2 Qualitative and Quantitative Models of Speech Translation 27
Ch. 3 Study and Implementation bined Techniques for Automatic Extraction of Terminology 49
Ch. 4 Do We Need Linguistics When We Have Statistics? parative Analysis of the Contributions of Linguistic
Cues to a Statistical Word Grouping System 67
Ch. 5 The Automatic Construction of a Symbolic Parser via Statistical Techniques 95
Ch. bining Linguistic with Statistical Methods in Automatic Speech Understanding 119
Ch. 7 Exploring the Nature of Transformation-Based Learning 135
Ch. 8 Recovering from Parser Failures: A Hybrid Statistical and Symbolic Approach 157
Contributors 181
Index 183
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Preface
The chaptersin this e out of a workshopheld at the 32nd Annual
Meetingof theAssociation putationalLinguistics , at NewMexico State
University in Las Cruces, New Mexico, on 1 July 1994. The purpose of the
workshopwas to provide a forum in which to bined symbolic and
statisticalapproach es putationallinguistics .
To manyresearchers , the merenotion biningapproach es to the study
of languageseems anathema . Indeed, in the past it has appearednecessary to
choosebetween two radically different researchagendas , studyingtwo essentially
different kinds of data. On the one hand, we find cognitively motivated
theoriesof languagein the ttadition of generativelinguistics , with introspective
data as primary evidence. On the other, we fmd approach es motivated by
empiricalcoverage , with collectionsof urring data as primary evidence
. Each approachhas its own kinds of theory, methodology, and criteria
for ess.
Although underlying philosophicaldifferences go back much further, the
genesisof generativegrammar in the late 1950sand early 1960sdrew attention
to the issuesof concernin this book. At