Computational Methods for Corpus Annotation and Analysis

  • Xiaofei┬áLu

Table of contents

  1. Front Matter
    Pages i-xi
  2. Xiaofei Lu
    Pages 1-8
  3. Xiaofei Lu
    Pages 39-65
  4. Xiaofei Lu
    Pages 67-93
  5. Xiaofei Lu
    Pages 95-114
  6. Xiaofei Lu
    Pages 115-145
  7. Xiaofei Lu
    Pages 175-184
  8. Back Matter
    Pages 185-186

About this book


In the past few decades the use of increasingly large text corpora has grown rapidly in language and linguistics research. This was enabled by remarkable strides in natural language processing (NLP) technology, technology that enables computers to automatically and efficiently process, annotate and analyze large amounts of spoken and written text in linguistically and/or pragmatically meaningful ways. It has become more desirable than ever before for language and linguistics researchers who use corpora in their research to gain an adequate understanding of the relevant NLP technology to take full advantage of its capabilities.

This volume provides language and linguistics researchers with an accessible introduction to the state-of-the-art NLP technology that facilitates automatic annotation and analysis of large text corpora at both shallow and deep linguistic levels. The book covers a wide range of computational tools for lexical, syntactic, semantic, pragmatic and discourse analysis, together with detailed instructions on how to obtain, install and use each tool in different operating systems and platforms. The book illustrates how NLP technology has been applied in recent corpus-based language studies and suggests effective ways to better integrate such technology in future corpus linguistics research.

This book provides language and linguistics researchers with a valuable reference for corpus annotation and analysis.



Analysis of large text corpora Collin's parser Corpus annotation Creating, editing text files with UTF-8 encoding Lexical annotation Natural language processing NLP Phrase structure grammars Task decompositon and pipes Text processing with the command line interface The UCREL semantic analysis system

Authors and affiliations

  • Xiaofei┬áLu
    • 1
  1. 1.Department of Applied LinguisticsThe Pennsylvania State UniversityUniversity ParkUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media Dordrecht 2014
  • Publisher Name Springer, Dordrecht
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-94-017-8644-7
  • Online ISBN 978-94-017-8645-4
  • About this book