TAILIEUCHUNG - Báo cáo khoa học: "FUNCTIONAL UNIFICATION GRAMMAR: A FORMALISM FOR MACHINE TRANSLATION"

Functional Unification G r a m m a r provides an opportunity to encompass within one formalism and computational s y s t e m the parts of m a c h i n e translation s y s t e m s t h a t have u s u a l l y been treated separately, natably analysis, transfer, and synthesis. Many of the a d v a n t a g e s of this formalism come from the fact t h a t it is monotonic allowing data structures to grow differently as different nondeterministic. | FUNCTIONAL UNIFICATION GRAMMAR A FORMALISM FOR MACHINE TRANSLATION Martin Kay Xerox Palo Alto Research Center 3333 Coyote Hill Road Palo Alto California 94304 and CSLI Stanford Abstract Functional Unification Grammar provides an opportunity to encompass within one formalism and computational system the parts of machine translation systems that have usually been treated separately natably analysis transfer and synthesis. Many of the advantages of this formalism come from the fact that it is monotonic allowing data structures to grow differently as different nondeterministic alternatives in a computation are pursued but never to be modified in any way. A striking feature of this system is that it is fundamental reversible allowing a to translate as b only if b could translate as a. I Overview A. Machine Translation A classical translating machine stands with one foot on the input text and one on the output. The input text is analyzed by the components of the machine that make up the left leg each one feeding information into the one above it. Information is passed from component to component down the right leg to construct the output text. The components of each leg correspond to the chapters of an introductory textbook on linguistics with phonology or graphology at the bottom then syntax semantics and so on. The legs join where languages are no longer differentiated and linguistics shades off into psychology and philosophy. The higher levels are also the ones whose theoretical underpinnings are less well known and system designers therefore often tie the legs together somewhere lower down constructing a more or less ad hoc bridge pivot or transfer component. We connot be sure that the classical design is the right design or the best design for a translating machine. But it does have several strong points. Since the structure of the components is grounded in linguistic theory it is possible to divide each of these components into two parts a formal description of the

• Báo cáo khoa học
• FUNCTIONAL UNIFICATION GRAMMAR
• A FORMALISM FOR MACHINE TRANSLATION
• Martin Kay
• scientific reports
• model language
• process natural language
• Functional Unification Grammar Revisited
• Kathleen R
• McKeown
• Cecile L
• Paris
• Conditional Descriptions
• Robert T
• Kasper
• 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
• 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