Text analysis of corpus linguistics in a post-concordancer era

Simon H WANG*

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

In this methodological paper, I review a number of studies in corpus linguistics that rely heavily on off-the-shelf computer programs known as concordancers. While acknowledging the fruitful research findings generated using concordancers, it is argued that natural language processing (NLP) tools such as Stanford parser and SyntaxNet should be used to automate certain analytical procedures that are often performed manually by corpus linguistics researchers using concordancers. More collaboration efforts between NLP researchers and corpus linguists are called for to help advance the field of corpus linguistics into a post-concordancer era.

Original languageEnglish
Title of host publicationEmerging Technologies for Education - 1st International Symposium, SETE 2016 Held in Conjunction with ICWL 2016, Revised Selected Papers
EditorsRosella Gennari, Yiwei Cao, Yueh-Min Huang, Wu Wu, Haoran Xie
PublisherSpringer Verlag
Pages394-400
Number of pages7
ISBN (Print)9783319528359
DOIs
Publication statusPublished - 2017
Event1st International Symposium on Emerging Technologies for Education, SETE 2016 Held in Conjunction with ICWL 2016 - Rome, Italy
Duration: 26 Oct 201629 Oct 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10108 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Symposium on Emerging Technologies for Education, SETE 2016 Held in Conjunction with ICWL 2016
Country/TerritoryItaly
CityRome
Period26/10/1629/10/16

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

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