tailieunhanh - Báo cáo khoa học: "Lexicon Features for Japanese Syntactic Analysis in Mu-Project-JE"

In this paper, we focus on the features of a lexicon for Japanese syntactic analysis in Japanese-to-English translation. Japanese word order is almost unrestricted and Kc~uio-~ti (postpositional case particle) i s an i m p o r t a n t device which acts as the case label(case m a r k e r ) in Japanese sentences. Therefore case grammar is the most effective grammar for Japanese syntactic analysis. The case frame governed by )buc~n and having surface case(Kakuio-shi), deep case(case label) and semantic markers for nouns is analyzed here to illustrate how we apply case grammar to. | Lexicon Features for Japanese Syntactic Analysis in Mu-Project-JE Yoshiyuki Sakamoto Masayuki Satoh Tetsuya Ishikawa Electrotechnical Laboratory Sakura-mura. Niihari-gun Ibaraki japan The Japan Information Center of Science and Technology Nagata-cho Chiyoda-ku Tokyo Japan Univ of Library Information Science Yatabe-machi Tsukuba-gun. Ibaraki. Japan 0. Abstract In this paper we focus on the features of a lexicon for Japanese syntactic analysis in Japanese-to-English translation. Japanese word order is almost unrestricted and Kcikuio-shi postpositional case particle is an important device which acts as the case label case marker in Japanese sentences. Therefore case grammar is the most effective grammar for Japanese syntactic analysis. The case frame governed by Yotiocn and having surface case Kakuio-shi . deep case case label and semantic markers for nouns is analyzed here to illustrate how we apply case grammar to Japanese syntactic analysis in our system. The parts of speech are classified into 56 sub-categories. We analyze semantic features for nouns and pronouns classified into sub-categories and we present a system for semantic markers. Lexicon formats for syntactic and semantic features are composed of different features classified by part of speech. As this system uses LISP as the programming language the lexicons are written as S-expression in LIS punched onto tapes and stored as files in the computer. 1. Introduction The Mu-project is a national project supported by the STA Science and Technology Agency the full name of which is Research on a Machine Translation System Japanese English for Scientific and Technological Documents. We are currently restricting the domain of translation to abstract papers in scientific and technological fields. The system is based on a transfer approach and consist of three phases analysis transfer and generation. In the first phase of machine translation analysis. morphological analysis divides the sentence into lexical items .

• Báo cáo khoa học
• Lexicon Features
• Japanese Syntactic Analysis
• Mu Project JE
• 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