TAILIEUCHUNG - Báo cáo khoa học: "DEALING WITH CONJUNCTIONS IN A MACHINE TRANSLATION ENVIRONMENT"

The paper presents an a l g o r i t h m , w r i t t e n in PROLOG, for p r o c e s s i n g E n g l i s h s e n t e n c e s w h i c h contain either Gapping, Right Node R a i s i n g (RNR) or Reduced C o n j u n c t i o n (RC). The DCG (Definite Clause Grammar) formalism (Pereira & Warren 80) is adopted. The algorithm is h. | DEALING WITH CONJUNCTIONS IN A MACHINE TRANSLATION ENVIRONMENT Xluming HUANG Institute of Linguistics Chinese Academy of Social Sciences Beijing China ABSTRACT The paper presents an algorithm written in PROLOG for processing English sentences which contain either Gapping Right Node Raising RNR or Reduced Conjunction RC . The DCG Definite Clause Grammar formalism Pereira Warren 80 Is adopted. The algorithm is highly efficient and capable of processing a full range of coordinate constructions containing any number of coordinate conjunctions and or and but . The algorithm is part of an English-Chinese machine translation system which is In the course of construction. 0 INTRODUCTION Theoretical linguists have made a considerable investigation Into coordinate constructions Ross 67a Hankamer 73 Schachter 77 Sag 77 Gazdar 81 and Sobln 82 to name a few giving descriptions of the phenomena from various perspectives. Some of the descriptions are stimulating or convincing. Computational linguists on the other hand have achieved less than their theoretical counterparts. Woods 7 3 s SYSCONJ to my knowledge is the first and the most often referenced facility designed specifically for coordinate construction processing. It can get the correct analysis for RC sentences like 1 John drove his car through and completely demolished a plate glass window but only after trying and falling an Indefinite number of times due to its highly non-determlnistlc nature. Church 79 claims some impressive Initial progress processing conjunctions with his NL parser YAP. Using a Marcus-type attention shift mechanism YAP can parse many conjunction constructions including some cases of Gapping. It doesn t offer a complete solution to conjunction processing though the Gapping sentences YAP deals with are only those with two NP remnants in a Gapped conjunct. Mailing address Cognitive Studies Centre University of Essex Colchester C04 3SQ England. McCord 80 proposes a more straightforward and more .

• Báo cáo khoa học
• DEALING WITH CONJUNCTIONS IN A MACHINE TRANSLATION ENVIRONMENT
• Xiumlng HUANG
• Workshops
• 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
• 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