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2017 | OriginalPaper | Chapter

Text Analysis of Corpus Linguistics in a Post-concordancer Era

Author : Simon Ho Wang

Published in: Emerging Technologies for Education

Publisher: Springer International Publishing

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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.

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previous chapter Automatic Essay Scoring Based on Coh-Metrix Feature Selection for Chinese English Learners
next chapter Comparing the Performance of Latent Semantic Analysis and Probability Latent Semantic Analysis Models on Autoscoring Essay Tasks
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Metadata
Title
Text Analysis of Corpus Linguistics in a Post-concordancer Era
Author
Simon Ho Wang
Copyright Year
2017
Book
Emerging Technologies for Education

Print ISBN: 978-3-319-52835-9

Electronic ISBN: 978-3-319-52836-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-52836-6_41

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