<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The last decades have seen an exponential growth of corpus sizes. This development has been driven by a desire to investigate rare syntactic phenomena, but issues remain: Corpora are by definition finite samples, but language is by definition infinite, leading to the negative data problem (‘absence of evidence is not evidence of absence’). One solution is corroborating corpus data with elicited introspection data that is obtained in a reliable, valid, and objective way. I present a case study to show how this can be done using the Magnitude Estimation Test (MET) method (Hoffmann 2013). Analyzing elicited data from 37 L1 English speakers, I show that introspective data can complement corpus data and lead to interesting new findings.</p>
</abstract>

The last decades have seen an exponential growth of corpus sizes. This development has been driven by a desire to investigate rare syntactic phenomena, but issues remain: Corpora are by definition finite samples, but language is by definition infinite, leading to the negative data problem (‘absence of evidence is not evidence of absence’). One solution is corroborating corpus data with elicited introspection data that is obtained in a reliable, valid, and objective way. I present a case study to show how this can be done using the Magnitude Estimation Test (MET) method (Hoffmann 2013). Analyzing elicited data from 37 L1 English speakers, I show that introspective data can complement corpus data and lead to interesting new findings.

Corroborating Corpus Data with Elicited Introspection Data: A Case Study

Department of English Language and Linguistics, Faculty of Languages and Literatures

Catholic University of Eichstätt-Ingolstadt

Journal of Linguistics/Jazykovedný casopis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Corroborating Corpus Data with Elicited Introspection Data: A Case Study"}

The last decades have seen an exponential growth of corpus sizes. This development has been driven by a desire to investigate rare syntactic phenomena, but...

Corroborating Corpus Data with Elicited Introspection Data: A Case Study

Online veröffentlicht: 25. Dez. 2023

Seitenbereich: 60 - 69

DOI: https://doi.org/10.2478/jazcas-2023-0024

Schlüsselwörter
negative data problem, MET, introspective data, comparative correlative, -complementizer

© 2023 Jakob Horsch, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Corroborating Corpus Data with Elicited Introspection Data: A Case Study

Online veröffentlicht: 25. Dez. 2023

Seitenbereich: 60 - 69

DOI: https://doi.org/10.2478/jazcas-2023-0024

Schlüsselwörternegative data problem, MET, introspective data, comparative correlative, -complementizer

© 2023 Jakob Horsch, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
negative data problem, MET, introspective data, comparative correlative, -complementizer