TAILIEUCHUNG - Báo cáo khoa học: "PARSING JAPANESE HONORIFICS IN UNIFICATION-BASED GRAMMAR"

This paper presents a unification-based approach to Japanese honorifics based on a version of HPSG (Head-driven Phrase Structure Grammar)ll]121. Utterance parsing is based on lexical specifications of each lexical item, including honorifics, and a few general PSG rules using a parser capable of unifying cyclic feature structures. It is shown that the possible word orders of Japanese honorific predicate constituents can be automatically deduced in the proposed f r a m e w o r k w i t h o u t i n d e p e n d e n t l y specifying them | PARSING JAPANESE HONORIFICS IN UNIFICATION-BASED GRAMMAR Hiroyuki MAEDA Susumu KATO Kiyoshi KOGURE and Hitoshi IIDA ATR Interpreting Telephony Research Laboratories Twin 21 Bldg. MID Tower 2-1-61 Shiromi Higashi-ku Osaka 540 Japan Abstract This paper presents a unification-based approach to Japanese honorifics based on a version of HPSG Head-driven Phrase structure Grammar 1112 . utterance parsing is based on lexical specifications of each lexical item including honorifics and a few general PSG rules using a parser capable of unifying cyclic feature structures. It is shown that the possible word orders of Japanese honorific predicate constituents can be automatically deduced in the proposed framework without independently specifying them. Discourse Information Change Rules DICRs that allow resolving a class of anaphors in honorific contexts are also formulated. 1. Introduction Japanese has a rich grammaticalized system of honorifics to express the speaker s honorific attitudes toward discourse agents . persons who are related to the discourse . As opposed to such written texts as scientific or newspaper articles where the author s rather neutral honorific attitude is required in spoken dialogues an abundant number of honorific expressions is used and plays an important role in resolving human zero-anaphors. In this paper a unification-based approach to Japanese honorifics is proposed. First Mizutani s theory of honorific expression actl3l is introduced to define basic honorific attitude types used in specifying pragmatic constraints on the use of Japanese honorifics. Then a range of honorifics are classified into subtypes from a morphological and syntactico-semantic perspective and examples of their lexical specifications are shown. The main characteristics of the utterance parser and an approach to explaining possible word orders of honorific predicate constituents are described. Finally Discourse Information Change Rules are formulated that resolve a class of

• Báo cáo khoa học
• PARSING JAPANESE HONORIFICS
• UNIFICATION BASED GRAMMAR
• Hiroyuki MAEDA
• 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
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• 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
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• UNGRAMHATICALITY
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• Taxonomy
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• Mark H
• Bursteln