TAILIEUCHUNG - Báo cáo khoa học: "A Linear-time Model of Language Production: some psychological implications"

Process is linear in t h e n u m b e r o f e l e m e n z s in ~he input message, . the realization decision for each element is m a d e only once and m a y not be revised. The representation for pending realization decisions and planned linguistic actions (the results of earlier decisions) is a surface-level syntactic phrase structure augmented by explicit labelings for its constituent positions (hereafter referred to as the tree).3 This working-structure is used simultaniously for control (determining w h a t action to take next) | A Linear-time Model of Language Production some psychological implications extended abstract David D. McDonald MIT Artificial Intelligence Laboratory Cambridge Massachusetts Traditional psycholinguistic studies of language production using evidence from naturally occurring errors in speech 1 2 and from real-time studies of hesitations and reaction time 3 4 have resulted in models of the levels at which different linguistic units are represented and the constraints on their scope. This kind of evidence by itself however can tell US nothing about the character of the process that manipulates these units as there are many a priori alternative computational devices that are equally capable of implementing the observed behavior. It will be the thesis of this paper that if principled nontrivial models of the language production process are to be constructed they must be informed by computationally motivated constraints. In particular the design underlying the linguistic component I have developed MUMBLE previously reported in 5 6J is being investigated as a candidate set of such constraints. Any computational theory of production that Is to be interesting as a psycholinguistic model must meet certain minimal criteria 1 Producing utterances incrementally in their normal left-to-right order and with a well-defined point-of-no-return since words once said can not be Invisibly taken back 2 Making the transition from the non-lingulstic message -level representation to the utterance via a linguistically structured buffer of only limited size people are not capable of linguistic precognition and can 1. This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the laboratory s artificial intelligence research is provided in part by the Advanced Research Projects Agency of the Department of Defence under Office of Naval Research contract N00014-75-C-0643. readily talk themselves into a corner 2 3 .

• Báo cáo khoa học
• A Linear time Model
• Language Production
• some psychological implications
• 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