Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,368

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

A Method for Linguistic Metaphor Identification: From MIP to MIPVU

Steen, Gerard J., Dorst, Aletta G., Herrmann, J. Berenike, Kaal, Anna A., Krennmayr, Tina, Pasma, Tryntje·2010·Converging Evidence in Language and Communication Research

Abstract

This book presents a complete method for the identification of metaphor in language at the level of word use. It is based on extensive methodological and empirical corpus-linguistic research in two languages, English and Dutch. The method is formulated as an explicit manual of instructions covering one chapter, the method being a development and refinement of the popular MIP procedure presented by the Pragglejaz Group in 2007. The extended version is called MIPVU, as it was developed at VU University Amsterdam. Its application is demonstrated in five case studies addressing metaphor in English news texts, conversations, fiction, and academic texts, and Dutch news texts and conversations. Two methodological chapters follow reporting a series of successful reliability tests and a series of post hoc troubleshooting exercises. The final chapter presents a first empirical analysis of the findings, and shows what this type of methodological attention can mean for research and theory.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1075/celcr.14

Cites

90 of 90 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 90 references

Cited by

Metadata

Authors
Steen, G. J., Dorst, A. G., Herrmann, J. B., Kaal, A. A., Krennmayr, T., & Pasma, T.
Venue
Converging Evidence in Language and Communication Research
Published
2010-06-07
ISSN
1566-7774 (ISSN-L)
OpenAlex
W574867956
Cited by
1,368
References
90
FWCI
13.88
Type
book
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A Method for Linguistic Metaphor Identification: From MIP to MIPVU. https://app.cochat.ai/papers/10.1075/celcr.14
The paper
Steen, G. J., Dorst, A. G., Herrmann, J. B., Kaal, A. A., Krennmayr, T., & Pasma, T. (2010). A Method for Linguistic Metaphor Identification: From MIP to MIPVU. Converging Evidence in Language and Communication Research. https://doi.org/10.1075/celcr.14

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.