TAILIEUCHUNG - Báo cáo khoa học: "Retrieving Collocations by Co-occurrences and Word Order Constraints"

In this paper, we describe a method for automatically retrieving collocations from large text corpora. This method retrieve collocations in the following stages: 1) extracting strings of characters as units of collocations 2) extracting recurrent combinations of strings in accordance with their word order in a corpus as collocations. Through the method, various range of collocations, especially domain specific collocations, are retrieved. | Retrieving Collocations by Co-occurrences and Word Order Constraints Sayori Shimohata Toshiyuki Sugio and Junji Nagata Kansai Laboratory Research Development Group Oki Electric Industry Co. Ltd. Crystal Tower 1-2-27 Shiromi Chuo-ku Osaka 540 Japan sayori sugio nagata @ Abstract In this paper we describe a method for automatically retrieving collocations from large text corpora. This method retrieve collocations in the following stages 1 extracting strings of characters as units of collocations 2 extracting recurrent combinations of strings in accordance with their word order in a corpus as collocations. Through the method various range of collocations especially domain specific collocations are retrieved. The method is practical because it uses plain texts without any information dependent on a language such as lexical knowledge and parts of speech. 1 Introduction A collocation is a recurrent combination of words ranging from word level to sentence level. In this paper we classify collocations into two types according to their structures. One is an uninterrupted collocation which consists of a sequence of words the other is an interrupted collocation which consists of words containing one or several gaps filled in by substitutable words or phrases which belong to the same category. The features of collocations are defined as follows collocations are recurrent collocations consist of one or several lexical units order of units are rigid in a collocation. For language processing such as machine translation a knowledge of domain specific collocations is indispensable because what collocations mean are different from their literal meaning and the usage and meaning of a collocation is totally dependent on each domain. In addition new collocations are produced one after another and most of them are technical jargons. There has been a growing interest in corpus-based approaches which retrieve collocations from large corpora Nagao and Mori 1994 Ikehara et .

• Báo cáo khoa học
• Retrieving Collocations
• Co occurrences
• Word Order Constraints
• 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