TAILIEUCHUNG - Báo cáo khoa học: "Powerful ideas in computational linquistics"

From high schools and universities and s major part of our work was centered around problems dealing with language. We have set up an experimental Language Laboratory in w h i c h the s t u d e n t s can explore existing computer programs, modify them, design new o n e s and implement them. | Powerful ideas in computational linguistics -Implications for problem solving and education Gerhard Fischer Institut fuer Informatik Universitaet Stuttgart West-Germany Abstract It is our firm belief that solving problems in the domain of computational linguistics CL can provide a set of metaphors or powerful ideas which are of great importance to many fields. We have taught several experimental classes to students from high schools and universities and a major part of our work was centered around problems dealing with language. We have set up an experimental Language Laboratory in which the students can explore existing computer programs modify them design new ones and implement them. The goal was that the student should gain a deeper understanding of language itself and that he she should learn general and transferable problem solving skills. exercise in pattern matching and symbol manipulation where certain keywords trigger a few prestored answers. It may also serve as an example for how little machinery is necessary to create the illusion of understanding. In our interdisciplinary research project KLING et al 1977 we have tried to overcome these problems by providing opportunities for the student to explore powerful ideas in the context of non-trivial problems and by showing that the computer prescence can do much more for education than improve the delivery system for curricula established independently of it. 1. Introduction Problem solving with the computer for the non-computer expert is slowly recognized as an important activity in our educational system. It is done best in a project-oriented course in which the student learns to solve problems in different domains. In the past activities of this sort have been centered around numerical problems physics problems and the standard computer science problems eg like writing a sorting procedure . 2. The state of the art The relevance of problems from linguistics has been ignored. The reasons for this fact are .

• Báo cáo khoa học
• Powerful ideas
• computational linquistics
• Implications for problem
• solvinq
• education
• scientific reports
• model language
• process natural language
• user
• experiences
• knowledge
• work
• productive
• engaging
• screens
• ideas
• envisioning
• powerful
• 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