TAILIEUCHUNG - Báo cáo khoa học: "AUTOMATED REASONING ABOUT NATURAL LANGUAGE CORRECTNESS"

Automated R e a s o n i n g techniques applied to the p r o b l e m of natural language correctness allow the d e s i g n of flexible training aids for the t e a c h i n g of foreign languages. The approach involves important advantages for both the student and the teacher by d e t e c t i n g possible errors and pointing out their reasons. Explanations may be given on four d i s t i n c t levels, thus offering differently instructive error messages according to the needs of the student. | AUTOMATED REASONING ABOUT NATURAL LANGUAGE CORRECTNESS Wolfgang Menzel Zentralinstitut filr Sprachwissenschaft Akademie der Wissenschaften der DDR Prenzlauer Promenade 149-152 Berlin 1100 DDR ABSTRACT Automated Reasoning techniques applied to the problem of natural language correctness allow the design of flexible training aids for the teaching of foreign languages. The approach involves important advantages for both the student and the teacher by detecting possible errors and pointing out their reasons. Explanations may be given on four distinct levels thus offering differently instructive error messages according to the needs of the student. I. THE IDEA The application of techniques from the domain of Automated Reasoning to the problem of natural language correctness offers solutions to at least some of the deficiencies of traditional approaches to computer assisted language learning. By supplying a specialized inference mechanism with knowledge about what is correct within fragments of natural language utterances a flexible training device can be designed. It prompts the student with e. g. randomly generated sentence frames where slots have to be filled in. The system then accomplishes two main tasks 1 It tries to diagnose possible errors in the students response in order to build up an internal model of the current capabilities of the student in terms of strictly linguistic categories. 2 It gives an explanation of the diagnostic results to guide the student in his search for a correct solution. In contrast to other approaches . Barchan et al. 1985 Pulman 1984 Schwind 1987 we concentrate our efforts more on the handling of fragmentory utterances instead of trying to analyse the correctness of complete sentences. The enormous difficulties connected with the design of a universal error diagnosis for natural language sentences may only partially be seen as a motivation for this restriction. Other equally important justifications could be mentioned as well 1 The

• Báo cáo khoa học
• AUTOMATED REASONING
• NATURAL LANGUAGE CORRECTNESS
• Long Papers
• scientific reports
• model language
• process natural language
• Editor in Chief
• Electronics
• Technology Magazin
• Generic Inference
• A Unifying Theory
• BMC Bioinformatics
• Semantic similarity
• Ontology visualization
• Directed acyclic graphs
• 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
• 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