Dear colleagues,

We are pleased to announce an upcoming volume on “Interdisciplinary, 
cross-lingual, diachronic and synchronic perspectives on the emergence and 
interpretation of multiword expression meanings”, which will be published by 
Springer. With this email, we invite article contributions to this 
peer-reviewed volume.

We welcome contributions from computational linguistics, psycholinguistics, and 
all other disciplines taking empirically grounded approaches to linguistic 
phenomena.

TOPIC OVERVIEW
Multiword expressions (MWEs) such as compound nouns (e.g. “loan shark”) and 
particle verbs (e.g. “take off”) provide a convenient way to express complex 
ideas, and new MWEs are often generated to refer to new or complex concepts. 
However, the extent and mechanisms by which new MWEs can be created, used, 
learned, and interpreted by humans and computational language models in an 
accurate and communicatively useful manner remains an open question.

A key complicating factor is that MWEs can have multiple, sometimes opaque and 
idiosyncratic interpretations. Sometimes, these interpretations are fully 
determined by their constituents expressions; other times, they go beyond these 
in unexpected directions. One still underexplored factor behind these 
challenges are meaning changes of multiword expressions – or their constituent 
words – over time.

In our edited volume, we aim to answer the following research questions:
- Which properties characterize MWE meaning interpretation at their time of 
emergence?
- What is the common ground (temporal and contextual) for MWE emergence?
- Why is an MWE chosen at the time of emergence, in contrast to a simplex or 
complex alternative with the same or a similar interpretation?
- How do MWE interpretations and degrees of transparency change over time or 
across domains?
- What are useful and reliable MWE representations (in cognitive and/or 
computational models), especially regarding sparse-data conditions and sub-word 
tokenization?
- What are useful and reliable cognitive and/or computational models for MWE 
meaning characterization and changes?

HOW TO CONTRIBUTE
If you are interested in contributing, please send your finalized, anonymized 
article (as a .pdf or .docx document) to the following email address:
[email protected]
The article will undergo a double-blind peer-review process, with at least two 
reviewers. At the same time, by submitting an article, you also commit to 
providing up to two reviews for other contributions.
We welcome inquiries ahead of submission time regarding the target topic areas 
or any other questions you may have.

IMPORTANT DATES
Deadline for chapter submission: April 15, 2026
Deadline for reviews: June 15, 2026
Deadline for revised chapter submission: August 15, 2026

If you have any questions, please let us know. We look forward to your 
contributions!

Filip Miletić (Universität Stuttgart)
Fritz Günther (Humboldt-Universität zu Berlin)
Wei He (University of Exeter)
Aline Villavicencio (University of Exeter)
Sabine Schulte im Walde (Universität Stuttgart)
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