Über den Autor
Sandra K bler is Associate Professor for Computational Linguistics in the Linguistics Department at Indiana University, Indiana, USA. Heike Zinsmeister is Professor for German Linguistics and Corpus Linguistics at the University of Hamburg, Germany.
Preface Part I Introduction 1. Corpus Linguistics 2. Corpora and Linguistic Annotation Part II Linguistic Annotation 3. Linguistic Annotation on the Word Level 4. Syntactic Annotation 5. Semantic Annotation 6. Discourse Annotation Part III Using Linguistic Annotation in Corpus Linguistics 7. Advantages and Limitations of Using Linguistically Annotated Corpora 8. Corpus Linguistics Using Linguistically Annotated Corpora Part IV Querying Linguistically Annotated Corpora 9. Concordances 10. Regular Expressions 11. Searching on the Word Level 12. Querying Syntactic Structures 13. Searching for Semantic and Discourse Phenomena Appendix A. Penn Treebank POS Tagset 343 Appendix B. ICE POS Tagset 345 Bibliography Index
Linguistically annotated corpora are becoming a central part of the corpus linguistics field. One of their main strengths is the level of searchability they offer, but with the annotation come problems of the initial complexity of queries and query tools. This book gives a full, pedagogic account of this burgeoning field. Beginning with an overview of corpus linguistics, its prerequisites and goals, the book then introduces linguistically annotated corpora. It explores the different levels of linguistic annotation, including morphological, parts of speech, syntactic, semantic and discourse-level, as well as advantages and challenges for such annotations. It covers the main annotated corpora for English, the Penn Treebank, the International Corpus of English, and OntoNotes, as well as a wide range of corpora for other languages. In its third part, search strategies required for different types of data are explored. All chapters are accompanied by exercises and by sections on further reading, together with an integral companion website that contains lists and guidance on contemporary annotated corpora and query tools.
Introduces corpus linguistics with a focus on linguistically annotated corpora, enabling analysis of a wide range of linguistic phenomena.