TAILIEUCHUNG - Báo cáo khoa học: "A Descriptive Framework for Translating Speaker's Meaning Towards a Dialogue Translation System between Japanese and English"

Classification of utterances concerning speaker's meaning. DPs present background information of language use in order to derive an appropriate expression from speaker's meaning. In Japanese, IFTs can be derived a u t o m a t i c a l l y t h r o u g h syntactical constraints. To generate appropriate expressions, language-specific communication strategies related to DP values should be given a priori. The whole process is performed in a unification-based framework. | A Descriptive Framework for Translating Speaker s Meaning - Towards a Dialogue Translation System between Japanese and English - Masako KUME Gayle K. SATO ATR Interpreting Telephony Research Labs Sanpeidani Inuidani Seika-chô Sôraku-gun Kyoto 619-02 JAPAN Kei YOSHIMOTO NTT Basic Research Labs Midori-chô3-9-ll Musashino-shi Tokyo 180 JAPAN Abstract A framework for translating speaker s meaning or intention is proposed based on two notions Illocutionary Force Types IFTs for analysis and Decision Parameters DPs for generation. IFTs are a certain kind of classification of utterances concerning speaker s meaning. DPs present background information of language use in order to derive an appropriate expression from speaker s meaning. In Japanese IFTs can be derived automatically through syntactical constraints. To generate appropriate expressions language-specific communication strategies related to DP values should be given a priori. The whole process is performed in a unification-based framework. 1. Introduction In devising a machine translation system of telephone dialogues one of the problems is how to adequately translate the underlying meaning of the source utterance or the speaker s intention into the target language. Such a concern is rarely observed in conventional machine translation research which has focused on strictly grammatical translation divorced from consideration of the speaker s situation and intentions Tsujii and Nagao 1988 . However in dialogue smoothness of communication depends on perceiving the speaker s intention. Especially when dealing with different language family pairs such as Japanese and English it is necessary to have a methodology of treating language-specific communication strategies in a universal framework. Although the input of our machine translation system is spoken dialogue here we leave aside the issues of speech processing and limit our discussion to linguistic processing. Extra-grammatical sentence patterns such as intra- .

• Báo cáo khoa học
• A Descriptive Framework
• Translating Speakers Meaning Towards a Dialogue Translation System
• Japanese and English
• scientific reports
• model language
• process natural language
• Flipped learning
• Directions and a descriptive framework
• Future research
• Flipped classroom
• Inverted classroom
• Descriptive framework
• 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