TAILIEUCHUNG - Báo cáo khoa học: "MULTILINGUAL DATA"

A central goal of linguistic theory is to explain why natural languages are the way they are. It has often been supposed that com0utational considerations ought to play a role in this characterization, but rigorous arguments along these lines have been difficult to come by. In this paper we show how a key "axiom" of certain theories of grammar, Subjacency, can be explained by appealing to general restrictions on on-line parsing plus natural constraints on the rule-writing vocabulary of grammars. . | SYNTACTIC CONSTRAINTS ANO EI-TTCIENT PARSABILITY Robert c. Berwick Room 820 MIT Artificial Intelligence Laboratory 545 Technology Square Cambridge MA 02139 Amy s. Weinberg Department of Linguistics MIT Cambridge MA 02139 ABSTRACT A central goal of linguistic theory is to explain why natural languages are the way drey arc. It has often been supposed that computational considerations ought to play a role in this characterization but rigorous arguments along these lines have been difficult to come by. In this paper we show how a key axiom of certain dicortes of grammar Subjacency can be explained by appealing to general restrictions on on-line parsing plus natural constraints on die rule-writing vocabulary of grammars. The explanation avoids the problems with Marcus 198O attempt to account for the same constraint. The argument is robust with respect to machine implementation and thus avoids the problems that often arise when making detailed claims about parsing efficiency. It has the added virtue of unifying in the functional domain of parsing certain grammatically disparate phenomena as well as making a sưong claim about the way in which the grammar is actually embedded into an on-line sentence processor. I INTRODUCTION In its short history computational linguistics has been driven by two distinct but interrelated goals. On the one hand it has aimed at computational explanations of disdnetively human linguistic behavior that is accounts of why natural languages arc the way they are viewed from the perspective of computation. On the other hand it has accumulated a stock of engineering methods for building machines to deal with natural and artificial languages. Sometimes a single body of research has combined both goals. This was true of die work of Marcus 1980 for example. But all too often the goals have remained opposed -- even to die extent that current transformational theory has been disparaged as hopelessly intractable and no help at all in constructing working

• Báo cáo khoa học
• MULTILINGUAL DATA
• Long Papers
• Workshops
• scientific reports
• model language
• process natural language
• Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia
• Hwanjo Yu
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Multilingual corpus generation
• Statistical machine translation
• Biomedical domain
• Non native speakers
• Biomedical information
• 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
• 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