TAILIEUCHUNG - Báo cáo khoa học: "SYSTEMIC GRAMMAR IN COMPUTATION: THE NIGEL CASE"

Computational linguistics needs grammars for several different tasks such as comprehension of text, machine translation, and text generation. 1 Clearly, any approach to grammar 2 has large computational systemic grammar for text generation (Nigel) that is currently being developed. | SYSTEMIC GRAMMAR IN COMPUTATION THE NIGEL CASE Christian . Matthiessen usc lnformation Sciences Institute 1 INTRODUCTION Computational linguistics needs grammars for several different tasks such as comprehension of text machine translation and text Clearly any approach to grammar2 has potentially something to offer computational linguistics say for parsing or text generation and. by the same token there is a potential benefit from an application within computational linguistics for each approach cf. Fawcett 80 . However it is equally clear that some approaches have much more to offer than others. Here I will take a look at Systemic Linguistics3 in the service of computational linguistics tasks concentrating on a 1This research was supported by the Air Force Office of Scientific Research Contract No. F49620-79-C-0181. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements either expressed or implied of the Air Force Office of Scientific Research of the . Government. I am very grateful to William Mann for many helpful comments on various versions of this paper much of the discussion builds on work by him. I am also deeply indebted to Michael . Halliday I have profited from and drawn heavily on his insights about English grammar and semantics and the systemic framework. I am solely responsible for all errors. 2_. .______ . . There are now in the early 80s a great number of grammatical mechanisms around -- witness for example the 1979 Milwaukee conference on current alternative approaches to syntax where around fourteen alternatives were presented see Moravcsik Wirth 80 . a collection which is only a sample leaving out many current approaches. The term grammar is used in its traditional sense in systemic linguistics it subsumes both syntax and morphology. This use contrasts with the more recent one where grammar subsumes .

• Báo cáo khoa học
• SYSTEMIC GRAMMAR IN COMPUTATION
• THE NIGEL CASE
• Christian M
• Matthiessen
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln