TAILIEUCHUNG - Báo cáo khoa học: "A Case Analysis Method Cooperating with ATNG and Its Application to Machine Translation"

This paper present a n e w method for parsing English sentences. The parser called L U T E - E J parser is combined with case analysis and A T N G - b a s e d analysis. L U T E - E J parser has two interesting mechanical characteristics. O n e is providing a structured buffer, Structured Constituent Buffer, so as to hold previous fillersfor a case structure, instead of case registers before a verb appears in a sentence. The other is extended H O L D mechanism(in ATN), in whose use an embedded. | A Case Analysis Method Cooperating with ATNG and Its Application to Machine Translation Hitoshi HD A Ken taro OGURA and Hirosato NOMURA Musas hino Electrical Communication Laboratory . Musashino-shi Tokyo 180 Japan Abstract This paper present a new method for parsing English sentences. The parser called LUTE-EJ parser is combined with case analysis and ATNG-based analysis. LUTE-EJ parser has two interesting mechanical characteristics. One is providing a structured buffer Structured Constituent Buffer so as to hold previous fillers for a case structure instead of case registers before a verb appears in a sentence. The other is extended HOLD mechanismfin ATN in whose use an embedded clause especially a be-deleted clause is recursively analyzed by case analysis. This parser s features are l extracting a case filler basically as a noun phrase by ATNG-based analysis including recursive case analysis and 2 mixing syntactic and semantic analysis by using case frames in case analysis. 1. Introduction In a lot of natural language processing including machine translation ATNG-based analysis is a usual method while case analysis is commonly employed for Japanese language parser described in this paper consists of two major parts. One is ATNG-based analysis for getting case elements and the other is case-analysis for getting a semantic clause analysis. LUTE-EJ parser has been implemented on an experimental machine translation system LUTE Language Understander Translator Editor which can translate English into Japanese and vice versa. LUTE-EJ is the English-to-Japanece version of LUTE. In case analysis two ways are generally used for parsing. One way analyzes a sentence from left to right by using case registers. Case fillers which fill each case registers are major participants of constituents for example SUBJECT OBJECT PP Prepositional Phrase s and so on in a sentence. In particular before a verb appears at least one participant the subject will be .

• Báo cáo khoa học
• A Case Analysis Method Cooperating
• ATNG and Its Application
• Machine Translation
• 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