TAILIEUCHUNG - Báo cáo khoa học: "A TRANSFER MODEL USING A TYPED FEATURE STRUCTURE REWRITING SYSTEM WITH INHERITANCE"

We propose a model for transfer in machine translation which uses a rewriting system for typed feature structures. The grammar definitions describe transfer relations which are applied on the input structure (a typed feaane structure) by the interpreter to produce all possible transfer pairs. The formalism is based on the semantics of typed feature structures as described in [AR-Kaci 84]. INTRODUCTION We propose a new model for transfer in machine translation of dialogues. The goal is twofold: to develop a linguistically-based theory for transfer, and to develop a computer formalism with which we can implement such a theory, and. | A TRANSFER MODEL USING A Typed Feature Structure Rewriting System with Inheritance Rémi Zajac ATR Interpreting Telephony Research Laboratories Sanpeidani Inuidani Seika-cho Soraku-gun Kyoto 619-02 Japan zajac atr-ln . ABSTRACT We propose a model for transfer in machine translation which uses a rewriting system for typed feature structures. The grammar definitions describe uansfer relations which are applied on the input structure a typed feature structure by the interpreter to produce all possible transfer pairs. The formalism is based on the semantics of typed feature structures as described in Ait-Kaci 84 . INTRODUCTION We propose a new model for transfer in machine ưanslation of dialogues. The goal is twofold to develop a linguistically-based theory for transfer and to develop a computer formalism with which we can implement such a theory and which can be integrated with a unification-based parser. The desired properties of the grammar are 1 to accept as input a feature structure 2 to produce as output a feature structure 3 to be reversible 4 to be as close as possible to current theories and formalisms used for linguistic description. From 1 and 2 we need a rewriting formalism where a rule takes a feature structure as input and gives a feature structure as output From 3 this formalism should be in the class of unificationbased formalisms such as PROLOG and there should be no distinction between input and output From 4 as the theoretical basis of grammar development in ATR is HPSG Pollard and Sag 1987 we want the formalism to be as close as possible to HPSG. To meet these requữements a rewriting system for typed feature structures based on the semantics of typed feature structures described in Ait-Kaci 84 has been implemented at ATR by Martin Emele and the author Emele and Zajac 89 . The type system has a lattice structure and inheritance is achieved through the rewriting mechanism. Type definitions are applied by the interpreter on the .

• Báo cáo khoa học
• A TRANSFER MODEL USING A TYPED FEATURE STRUCTURE
• REWRITING SYSTEM
• INHERITANCE
• 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