B.C. Papegaaij

V. Sadler and A.P.M. Witkam (eds.)

WORD EXPERT SEMANTICS
an Interlingual
Knowledge-Based
Approach

 

1986

FORIS PUBLICATIONS

Dordrecht - Holland/Riverton - U.S.A.

 

(Distributed Language Translation 1)

 

[copyright: Mouton de Gruyter]

 

Contents

 

 Introduction … 1

Part I             -   Machine Translation and the Problem of Ambiguity … 4

Chapter 1       Natural Language Processing … 5

-      The Computer (R)evolution … 5

-      Natural Language … 5

-      Machine Translation … 6

-      Limitations of the Computer … 9

-      Natural Language versus the Computer … 10

Chapter 2       Lexical Ambiguity … 19

-      Paradigms of Meaning … 19

-      Non-determinism … 22

-      Knowledge of the World … 25

-      The Shiftiness and Creativity of Language … 26

Chapter 3       A Concise Historical Survey … 30

-      Word-by-Word Translation … 30

-      Syntax Only … 32

-      Closed Worlds … 32

-      Selection Restrictions … 36

-      Case Grammar … 38

-      Scripts and Plans … 39

-      Preference Semantics … 43

-      The Word Expert … 46

Chapter 4       MT & Understanding - Contemporary Techniques … 48

-      'Decompose and Capture' - Classification by Means of Primitives … 48

-      The Knowledge Bank - Storing Facts and Figures … 51

-      Sublanguage & Limited Domains … 53

-      Semantic Networks … 54

-      Frames … 57

-      Logic, Inferencing & Mechanical Reasoning … 60

Chapter 5       The Importance of the Dictionary … 65

-      The Lexical Knowledge Bank … 66

-      Lexical Universe & Lexical Function … 68

-      Innovations in Lexicography … 71

Chapter 6      The Need for Integration … 73

-      Many Solutions for Many Problems … 73

-      High Quality MT through Combined Strategies … 73

Part II             -   The Semantic Word Expert System … 75

Chapter 1       General Lay-out of the DLT System … 77

-      Modular Approach … 77

-      On-line Parsing … 79

-      Interleaved Semantic Processing … 81

-      End-of-Sentence Macrocontext Semantics … 82

-      Disambiguation Dialogue … 84

Chapter 2      The Structure of the Lexical Knowledge Bank … 85

-      Principal Structure … 85

-      SL to lL … 86

-      IL to TL … 88

-      The Central Role of IL … 89

-      The Lexical Taxonomy … 91

-      Contextual Dependency: SOLL Pairs … 95

-      Logical & Ontological Information … 96

-      The Core … 99

-      Relator Matching … 100

-      Closed Sets, Cyclic Data and other Information … 102

Chapter 3       Disambiguation with SWESIL … 105

-      Syntactic Analysis … 105

-      Interleaved Semantics … 108

-      The IST Pair Generator … 108

-      Paradigmatic Expansion … 112

-      The Matching Cycle … 113

-      Ordering the Alternatives … 127
Second-Order Matching … 127

Chapter 4       The Disambiguation Dialogue … 129

-       Closed Format Question … 131

-       Types of Questions & On-screen Presentation … 133

-       Experiments with Disambiguation Dialogues … 136

Part III           -   The Semantic Work Bench - A Development Tool … 143

Chapter 1       Developing SWESIL and the LKB … 144

-       Building a Lexicon … 144

-       Experimental Lexicographic Approaches … 147

-       The Melby Test … 152

-       The Size of the LKB … 156

Chapter 2      The Semantic Work Bench … 163

-       The Experimental Environment … 163

-       Modular Approach … 164

-       Tools … 166

Chapter 3       Tests and Results … 170

-       Single IST Pairs … 170

-       Sentences with First-Order Matching Only … 174

-       Sentences with Second-Order Matching … 188

Chapter 4       Melby Test Results … 191

Part IV           -   Future Developments … 196

Chapter 1        Computerized Lexicography … 197

-       Diversity of Sources … 198

-       Formalizing Information … 200

-       Storing Entries in the LKB … 201

-       Lexicographic Tools … 202

-       The Ultimate Aim - The General Purpose IL Knowledge Bank … 205

Chapter 2       Macrocontext and Discourse Analysis … 208

-       Beyond the Sentence Boundary … 208

-       Text Models … 210

-       Incremental Understanding - Validation of Information from Different Sources … 211

-       Applications - Summaries, Indexing, Rephrasing … 213

-       Increasing Dialogue Efficiency … 213


Chapter 3      The Self-Improving System … 215

-       Changing Language … 215

-       Variety of Language … 216

-       Learning from Experience – Improving Performance while Processing Text … 217

-       The Dialogue as SWESIL's Tutor … 220

-       Updating and Expanding … 221

References … 222