Corpus Linguistics. Volume 1
eBook - PDF

Corpus Linguistics. Volume 1

  1. 793 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Corpus Linguistics. Volume 1

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Table of contents
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About This Book

This volume provides an up-to-date survey of the field of corpus linguistics, a field whose methodology has revolutionized much of the empirical work done in most fields of linguistic study over the past decade.

Corpus linguistics investigates human language by starting out from large collections of texts - spoken, written, or recorded. These language corpora, which are now regularly available in electronic form, are the basis for quantitative and qualitative research on almost any question of linguistic interest. Many techniques that are in use in corpus linguistics today are rooted in the tradition of the late 18th and 19th century, when linguistics began to make use of mathematical and empirical methods. Modern corpus linguistics has used and developed these methods in close connection with computer science and computational linguistics.

The handbook sketches the history of corpus linguistics, shows its potential, discusses its problems, and describes various methods of collecting, annotating, and searching corpora as well as processing corpus data. It also reports case studies that illustrate the wide range of linguistic research questions addressed in corpus linguistics. The over 60 articles included in the handbook are divided into five sections:
(1) the origins and history of corpus linguistics and surveys of its relationship to central fields of linguistics
(2) corpus compilation
(3) corpus types
(4) preprocessing of corpora
(5) the use and exploitation of corpora.

The final section gives an overview of the results of corpus studies obtained in phonetics, phonology, morphology, syntax, semantics, sociolinguistics, historical linguistics, stylometry, dialectology, and discourse analysis. It also reports on recent advances made in human and machine translation, contrastive studies, computer-assisted language learning, and automatic summarization.

The contributors to the volume are internationally known experts in their respective fields. The handbook is intended for a wide audience ranging from teachers, university students, and scholars to anyone interested in the use of computers in linguistic analyses and applications.

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Yes, you can access Corpus Linguistics. Volume 1 by Anke Lüdeling, Merja Kytö in PDF and/or ePUB format, as well as other popular books in Languages & Linguistics & Linguistics. We have over one million books available in our catalogue for you to explore.

Information

Year
2008
ISBN
9783110211429
Edition
1

Table of contents

  1. Frontmatter
  2. Contents
  3. 1. Pre-electronic corpora
  4. 2. Early generative linguistics and empirical methodology
  5. 3. Some aspects of the development of corpus linguistics in the 1970s and 1980s
  6. 4. Corpus linguistics and historical linguistics
  7. 5. Theory-driven and corpus-driven computational linguistics, and the use of corpora
  8. 6. Corpus linguistics and sociolinguistics
  9. 7. Corpora and language teaching
  10. 8. Corpus linguistics and lexicography
  11. 9. Collection strategies and design decisions
  12. 10. Text corpora
  13. 11. Speech corpora and spoken corpora
  14. 12. Multimodal corpora
  15. 13. Treebanks
  16. 14. Historical corpora
  17. 15. Learner corpora
  18. 16. Parallel and comparable corpora
  19. 17. Corpora of computer-mediated communication
  20. 18. Web linguistics
  21. 19. Large text networks as an object of corpus linguistic studies
  22. 20. Well-known and influential corpora
  23. 21. Corpora of less studied languages
  24. 22. Annotation standards
  25. 23. Development of tag sets for part-of-speech tagging
  26. 24. Tokenizing and part-of-speech tagging
  27. 25. Lemmatising and morphological tagging
  28. 26. Sense and semantic tagging
  29. 27. Corpora for anaphora and coreference resolution
  30. 28. Syntactic preprocessing
  31. 29. Pragmatic annotation
  32. 30. Preprocessing speech corpora: Transcription and phonological annotation
  33. 31. Preprocessing multimodal corpora
  34. 32. Preprocessing multilingual corpora
  35. 33. Searching and concordancing
  36. 34. Searching treebanks and other structured corpora
  37. 35. Linguistically annotated corpora: Quality assurance, reusability and sustainability