Corpus Linguistics: Volume 2

• Publisher: De Gruyter Mouton
• Year: 2009
• Tongue: English
• Leaves: 605
• Series: Handbücher zur Sprach- und Kommunikationswissenschaft / Handbooks of Linguistics and Communication Science [HSK]; 29/2
• Category: Library

✦ Synopsis

This handbook 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.

 

✦ Table of Contents

Frontmatter
Contents
36. Statistical methods for corpus exploitation
37. Distributions in text
38. Multi-dimensional approaches
39. Machine learning
40. Exploratory multivariate analysis
41. Corpus linguistics in morphology: Morphological productivity
42. Corpora and syntax
43. Corpora and grammar
44. The induction of verb frames and verb classes from corpora
45. Corpus linguistics and word meaning
46. Theory-driven corpus research: Using corpora to inform aspect theory
47. Corpora and spoken language
48. Cross-lingual influence: The integration of foreign items
49. Corpora and discourse analysis
50. Corpus linguistics and stylometry
51. Historical corpus linguistics and evidence of language change
52. Corpora and the study of recent change in language
53. Corpus linguistics and dialectology
54. Contrastive corpus studies
55. Corpora in human translation
56. Corpora and machine translation
57. Corpus linguistics and first language acquisition
58. Corpora and collocations
59. Corpora and text re-use
60. Corpora for text summarisation
61. Quantitative methods in corpus linguistics
Backmatter