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树库属于深加工语料库,是语料库语言学和自然语言处理技术发展到相对成熟阶段的产物。本书主要讲述如何构建树库、如何使用树库,基本反映了近10年间树库研究的整体面貌,是树库研究发展到一定阶段的一个比较全面的总结,起到了承前启后的作用。
书籍目录:
导读
Preface
Introduction
Anne Abeille
1 BUILDING TREEBANKS
2 USING TREEBANKS
Part Ⅰ BUILDING TREEBANKS
ENGLISH TREEBANKS
Chapter 1
THE PENN TREEBANK:AN OVERVIEW
Ann Taylor, Mitchell Marcus, Beatrice Santorini
INTRODUTION
1 THE ANNOTATION SCHEMES
2 METHODOLOGY
3 CONCLUSIONS
Chapter 2
THOUGHTS ON TWO DECADES OF DRAWING TREES
Geoffrey Sampson
1 HISTORICAL BACKGROUND
2 BUILDING TREEBANKS
3 EXPLOITING THE SUSANNE TREEBANK
4 SMALL IS BEAUTIFUL
5 ANNOTATING A SPOKEN CORPUS
6 USING THE CHRISTINE CORPUS
7 CONCLUSION
Chapter 3
BANK OF ENGLISH AND BEYOND
Timo Jarvinen
1 INTRODUCTION
2 ANNOTATING 200 MILLION WORDS
3 ENGCG SYNTAX
4 FDG PARSER
5 CONCLUSION
Chapter 4
COMPLETING PARSED CORPORA
Sean Wallis
1 INTRODUCTION
2 CONVENTIONAL POST-CORRECTION
3 A PARADIGM SHIFT: TRANSVERSE CORRECTION
4 CRITIQUE
GERMAN TREEBANKS
Chapter 5
SYNTACTIC ANNOTATION OF A GERMAN NEWSPAPER CORPUS
Thorsten Brants, Wojciech Skut, Hans Uszkoreit
1 INTRODUCTION
2 TREEBANK DEVELOPMENT
3 CORPUS ANNOTATION
4 APPLICATIONS
5 CONCLUSIONS
Chapter 6
ANNOTATION OF ERROR TYPES FOR A GERMAN
NEWSGROUP CORPUS
Markus Becker, Andrew Bredenkamp, Berthold Crysmann, Judith Klein
1 INTRODUCTION
2 CORPUS DESCRIPTION
3 ANNOTATION STRATEGY
4 ANNOTATION TOOLS
5 EVALUATION
6 FIRST RESULTS
7 CONCLUSION
SLAVIC TREEBANKS
Chapter 7
THE PRAGUE DEPENDENCY TREEBANK
Alena Bohmova, Jan Hajicova, Eva Hajicova, Barbora Hladka
1 THE PRAGUE DEPENDENCY TREEBANK
2 MORPHOLOGICAL LEVEL
3 ANALYTICAL LEVEL
4 MERGING THE MORPHOLOGICAL AND THE
ANALYTICAL SYNTACTIC LEVEL
5 TECTOGRAMMATICAL LEVEL
6 PDT VERSIONS 1.0 AND 2.0
7 CONCLUSION
Chapter 8
AN HPSG-ANNOTATED TEST SUITE FOR POLISH
Malgorzata Marciniak, Agnieszka Mykowiecka, Adam Przepiórkowski, Anna Kup
1 AIMS AND DESIGN CONSTRAINTS
2 CORRECTNESS AND COMPLEXITY MARKERS
3 LINGUISTIC PHENOMENA
4 ANNOTATION SCHEMA
5 IMPLEMENTATION ISSUES
6 CONCLUSION
TREEBANKS FOR ROMANCE LANGUAGES
Chapter 9
DEVELOPING A SYNTACTIC ANNOTATION SCHEME AND TOOLS
FOR A SPANISH TREEBANK
Antonio Moreno, Susana López, Fernando Sanchez, Ralph Grishman
1 INTRODUCTION
2 DATA SELECTION
3 ANNOTATION SCHEME
4 TOOLS
5 DEBUGGING AND ERROR STATISTICS
6 CURRENT STATE AND FUTURE DEVELOPMENT
Chapter 10
BUILDING A TREEBANK FOR FRENCH
Anne Abeille, Lionel Clement, Francois Toussenel
INTRODUTION
1 THE TAGGING PHASE
2 THE PARSING PHASE
3 CURRENT STATE AND FUTURE WORK
4 CONCLUSION
Chapter 11
BUILDING THE ITALIAN SYNTACTIC-SEMANTIC TREEBANK
Simonetta Montemagni, Francesco Barsotti, Marco Battista, Nicoletta Calzolari, Ornella Corazzari, Alessandro Lenci.Antonio Zampolli, Francesca Fanciulli, Maria Massetani, Remo Raffaelli, Roberto Basili, Maria Teresa Pazienza, Dario Saracino, Fabio Zanzotto,Nadia Mana, Fabio Pianesi, Rodolfo Delmonte
1 INTRODUCTION
2 ISST ARCHITECTURE
3 ISST CORPUS
4 ISST MORPHO-SYNTACTIC ANNOTATION
5 ISST SYNTACTIC ANNOTATION
6 ISST LEXICO-SEMANTIC ANNOTATION
7 THE MULTI-LEVEL LINGUISTIC ANNOTATION TOOL
8 ISST EVALUATION
9 CONCLUSION
Chapter 12
AUTOMATED CREATION OF A MEDIEVAL PORTUGUESE
PARTIAL TREEBANK
Vitor Rocio.Mario Amado Alves, J.Gabriel Lopes, Maria Francisca Xavier, Graca Vicente
1 INTRODUCTION
2 THE PARSED CORPUS OF MEDIEVAL
PORTUGUESE TEXTS
3 TOOLS AND COMPUTATIONAL RESOURCES
4 EVALUATION
5 CONCLUSION
TREEBANKS FOR OTHER LANGUAGES
Chapter 13
SINICA TREEBANK
Keh-Jiann Chen, Chi-Ching Luo, Ming-Chung Chang, Feng-Yi Chen, Chao-Jan Chen, Chu-Ren Huang, Zhao Ming Gao
1 INTRODUCTION
2 DESIGN CRITERIA
3 REPRESENTATION OF LEXICO-GRAMMATICAL
INFORMATION: ICG
4 ANNOTATION GUIDELINE
5 IMPLEMENTATION
6 REPRESENTATIONAL ISSUES: PROBLEMATIC CASES
AND HOW THEY ARE SOLVED
7 CURRENT STATUS OF THE SINICA TREEBANK AND FUTURE WORK
Chapter 14
BUILDING A JAPANESE PARSED CORPUS
Sadao Kurohashi, Makoto Nagao
1 INTRODUCTION
2 OVERVIEW OF THE PROJECT
3 MORPHOLOGICAL ANALYZER JUMAN
4 DEPENDENCY STRUCTURE ANALYZER KNP
5 CONCLUSION
Chapter 15
BUILDING A TURKISH TREEBANK
Kemal Oflazer, Bilge Say, Dilek Zeynep Hakkani-Tür, Gokhan Tür
1 TURKISH: MORPHOLOGY AND SYNTAX
2 WHAT INFORMATION NEEDS TO BE REPRESENTED?
3 THE ANNOTATION TOOL
4 SOME DIFFICULT ISSUES
5 CONCLUSIONS AND FUTURE WORK
Part Ⅱ USING TREEBANKS
Chapter 16
ENCODING SYNTACTIC ANNOTATION
Nancy Ide, Laurent Romary
1 INTRODUCTION
2 XCES
3 SYNTACTIC ANNOTATION: CURRENT PRACTICE
4 A MODEL FOR SYNTACTIC ANNOTATION
5 USING THE XCES SCHEME
6 CONCLUSION
EVALUATION WITH TREEBANKS
Chapter 17
PARSER EVALUATION
John Carroll, Guido Minnen, Ted Briscoe
1 INTRODUCTION
2 GRAMMATICAL RELATION ANNOTATION
3 CORPUS ANNOTATION
4 PARSER EVALUATION
5 DISCUSSION
6 SUMMARY
Chapter 18
DEPENDENCY-BASED EVALUATION OF MINIPAR
Dekang Lin
1 INTRODUCTION
2 DEPENDENCY-BASED PARSER EVALUATION
3 EVALUATION OF MINIPAR WITH SUSANNE CORPUS
4 SELECTIVE EVALUATION
5 RELATED WORK
6 CONCLUSIONS
GRAMMAR INDUCTION WITH TREEBANKS
Chapter 19
EXTRACTING STOCHASTIC GRAMMARS FROM TREEBANKS
Rens Bod
1 INTRODUCTION
2 SUMMARY OF DATA-ORIENTED PARSING
3 SIMULATING STOCHASTIC GRAMMARS BY
CONSTRAINING THE SUBTREE SET
4 DISCUSSION AND CONCLUSION
Chapter 20
A UNIFORM METHOD FOR AUTOMATICALLY EXTRACTING
STOCHASTIC LEXICALIZED TREE GRAMMARS FROM
TREEBANKS AND HPSG
Günter Neumann
1 INTRODUCTION
2 RELATED WORK
3 GRAMMAR EXTRACTION
4 SLTG FROM TREEBANKS
5 SLTG FROM HPSG
6 FUTURE STEPS: TOWARDS MERGING SLTGS
Chapter 21
FROM TREEBANK RESOURCES TO LFG F-STRUCTURES
Anette Frank, Louisa Sadler, Josef van Genabith, Andy Way
1 INTRODUCTION
2 METHODS FOR AUTOMATIC F-STRUCTURE
ANNOTATION
3 TWO EXPERIMENTS
4 DISCUSSION AND CURRENT RESEARCH
5 SUMMARY
Contributing Authors
Index
作者介绍:
Abeillé,法国巴黎第七大学教授。
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书籍摘录:
(ⅰ)Merge the verb with its auxiliary nodes (having the category AuxV or AuxT as their analytical function in ATS) and assign the values of the grammatemes of tense and verb modality to the respective verb on the basis of the lexical values of these auxiliary nodes.The lemmas of the merged nodes are concatenated into the trlema attribute of the verb, The original auxiliary nodes are deleted.
(ⅱ)Merge the modal verb with the autosemantic verb that depends on it in the ATS.This procedure works in three steps: the tree is rearranged so that the modal verb depends on the autosemantic verb, the value for the attribute deontmod of the latter verb is assigned according to the lexical value of the modal verb, and the modal verb node is deleted.
(ⅲ)Merge the nodes of complex prepositions and complex conjunctive expressions into a single node.
(ⅳ)Delete the nodes for prepositions; the lexical values of the prepositions are temporarily ‘preserved' as values of the attribute fw (function word) of the respective governing noun and wait for further (manual) treatment.In case of coordination the prepositions are added to all coordinated nodes.
(ⅴ)Delete the nodes representing subordinating conjunctions; the lemma of a conjunction is again ‘preserved' as a value of the ‘fw' attribute of the dependent verb and thus prepared for further (manual) treatment.In case of coordination the conjunction is added to all coordinated nodes.
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