TAILIEUCHUNG - Báo cáo khoa học: "Statistical Dependency Parsing of Turkish"

This paper presents results from the first statistical dependency parser for Turkish. Turkish is a free-constituent order language with complex agglutinative inflectional and derivational morphology and presents interesting challenges for statistical parsing, as in general, dependency relations are between “portions” of words – called inflectional groups. We have explored statistical models that use different representational units for parsing. We have used the Turkish Dependency Treebank to train and test our parser but have limited this initial exploration to that subset of the treebank sentences with only left-to-right non-crossing dependency links. . | Statistical Dependency Parsing of Turkish Giil en Eryigit Department of Computer Engineering Istanbul Technical University Istanbul 34469 Turkey gulsen@ Kemal Oflazer Faculty of Engineering and Natural Sciences Sabanci University Istanbul 34956 Turkey oflazer@ Abstract This paper presents results from the first statistical dependency parser for Turkish. Turkish is a free-constituent order language with complex agglutinative inflectional and derivational morphology and presents interesting challenges for statistical parsing as in general dependency relations are between portions of words - called inflectional groups. We have explored statistical models that use different representational units for parsing. We have used the Turkish Dependency Treebank to train and test our parser but have limited this initial exploration to that subset of the treebank sentences with only left-to-right non-crossing dependency links. Our results indicate that the best accuracy in terms of the dependency relations between inflectional groups is obtained when we use inflectional groups as units in parsing and when contexts around the dependent are employed. 1 Introduction The availability of treebanks of various sorts have fostered the development of statistical parsers trained with the structural data in these treebanks. With the emergence of the important role of word-to-word relations in parsing Charniak 2000 Collins 1996 dependency grammars have gained a certain popularity . Yamada and Matsumoto 2003 for English Kudo and Matsumoto 2000 2002 Sekine et al. 2000 for Japanese Chung and Rim 2004 for Korean Nivre et al. 2004 for Swedish Nivre and Nilsson 2005 for Czech among others. Dependency grammars represent the structure of the sentences by positing binary dependency relations between words. For instance Figure 1 Figure 1 Dependency Relations for a Turkish and an English sentence shows the dependency graph of a Turkish and an English sentence where .

• Báo cáo khoa học
• Statistical Dependency
• Parsing of Turkish
• Gulsen Eryi
• scientific reports
• model language
• process natural language
• A Comparative Study
• Target Dependency Structures
• Statistical Machine Translation
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Exploiting Web Derived Selectional Preference
• Improve Statistical Dependency Parsing
• Guangyou Zhou
• Importance of linguistic constraints
• statistical dependency parsing
• Bharat Ram Ambati
• Dependency Based Statistical
• Machine Translation
• Heidi J
• Fox Brown
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Deep dependencies
• context free statistical parsers
• correcting the surface dependency approximation
• Improving Grammaticality
• Statistical Sentence Generation Introducing a Dependency Spanning Tree Algorithm
• Argument Satisfaction Model
• Khoa học máy tính
• Tạp chí khoa học
• Natural Language Processing
• Phrase based Statistical Machine Translation
• 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
• Mark H
• Bursteln