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Language Planning as a Sociolinguistic Experiment

By: Ernst Jahr

Provides richly detailed insight into the uniqueness of the Norwegian language development. Marks the 200th anniversary of the birth of the Norwegian nation following centuries of Danish rule

New from Cambridge University Press!


Acquiring Phonology: A Cross-Generational Case-Study

By Neil Smith

The study also highlights the constructs of current linguistic theory, arguing for distinctive features and the notion 'onset' and against some of the claims of Optimality Theory and Usage-based accounts.

New from Brill!


Language Production and Interpretation: Linguistics meets Cognition

By Henk Zeevat

The importance of Henk Zeevat's new monograph cannot be overstated. [...] I recommend it to anyone who combines interests in language, logic, and computation [...]. David Beaver, University of Texas at Austin

Query Details

Query Subject:   WebCorp Concordance Counts
Author:   Jerry Kurjian
Submitter Email:  click here to access email

Linguistic LingField(s):  Computational Linguistics
Text/Corpus Linguistics

Query:   Hi all,
I have a question about the concordance counts produced by the WebCorp site:

For example, if I search ''suggest you don't'' vs. ''suggest that you
don't'' using WebCorp (via Google) I get, at the bottom of the page, a
concordance count of 187 vs. 96 kwics respectively. However, if I search
the same two terms, in quotes, on Google, I get 34,200 vs. 16,200 hits.
The ratios are similar though not the same.

Does anyone have insight into how WebCorp calculates/filters its
concordances or why these two engines are so different in the number of
hits they return?

In fact, it is nice to have the more manageable number produced by WebCorp,
and the external collocate counts it creates. But if I am interested in
the frequency of ''I'' collocating with the two search terms based on
WebCorp, I'd like to be clearer how those two counts are derived.

LL Issue: 16.1291
Date posted: 22-Apr-2005


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