From Trial by Fire To Sleep Like a Baby: A Lexicon of Anxiety Associations for 20k English Multiword Expressions
Paper · 2026 · Saif M. Mohammad
Summary
Lexicons that link words to anxiety already exist, but phrases larger than a single word have been mostly ignored. Saif M. Mohammad fills this gap with WorryMWEs, a crowdsourced resource that records how strongly over 20k English multiword expressions are tied to anxiety or to calmness. The paper treats an MWE simply as a sequence of two or more words, often one with some notable semantic, syntactic or functional behaviour.
The ratings are descriptive norms. They record how people actually perceive the link between a phrase and anxiety, not how language ought to be used. The author reports that the annotations are highly reliable.
The lexicon is then used for two analyses:
- how common anxiety-linked and calm-linked expressions are, broken down by MWE type and by length (bigrams, trigrams, fourgrams);
- how far a phrase's anxiety rating can be predicted from the ratings of its individual words.
The paper also argues at length that such a resource matters for many fields, including semantics, affective science, computational social science and public health. It notes that human-made norms remain necessary even when LLMs can produce lexicons, because LLM output still needs validation.
Key points
- WorryMWEs covers more than 20k English MWEs, rated by crowd annotators for association with anxiety versus calmness.
- WorryMWEs is released together with WorryWords (about 44k words) as WorryLex v2, freely available at saifmohammad.com/worrylex.html.
- The analyses compare MWE types and n-gram lengths (two, three and four words), and test whether MWE anxiety is compositional with respect to the constituent words.
- Related resources:
- Muraki et al. (2023): concreteness ratings for about 62k MWEs.
- NRC VAD Lexicon v2: valence, arousal and dominance for 10k MWEs.
- Jochim et al. (2018): sentiment annotation of 5000 idioms.
- The paper motivates its anxiety–calmness framing with the view of anxiety as one continuum running from high calmness to high anxiety (Siddaway et al., 2018).
Interesting ideas
- I1. Rating items on one bipolar axis from calm to anxious, instead of a yes/no anxiety label, captures soothing phrases (e.g. sleep like a baby) as well as alarming ones.
- I2. Compositionality is checked directly by comparing each phrase's rating with the ratings of its parts, which shows where the parts do not explain the whole.
- I3. A human-made lexicon is used in two halves: one portion to steer LLM generations and a held-out portion to validate them.
- I4. Expressions of emotion regulation (taking a deep breath, bottling it up) are singled out as linguistic evidence of coping strategies, not just of the emotion itself.
For Mova
How these ideas could serve Mova, our small open language model — its files, stages and tests:
- I1 (world): affective states of entities in the world of a text could be stored as a signed value on such an axis, so "calmed down" and "on edge" become opposite movements of the same state.
- I2 (frames): the same gap between phrase and word scores could flag idioms whose literal frame reading (jumping out of my skin) should be replaced by a single emotional-state frame.
- I3 (learn): LLM teacher tiers that propose lexical or affective labels could be scored against a held-out slice of human norms, giving an external check separate from the training signal.
- I4 (frames): pragmatics could recognise such phrases as coping acts by an experiencer, enriching who-feels-what-and-does-what-about-it frames for tales and fables.
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 18,614 worksArtificial Intelligence · 17,965 worksPsychology · 1,649 worksExperimental and Cognitive Psychology · 930 worksSocial Psychology · 330 works
🧭 Topics 2Research subjects and languages the work is about.English · 2,379 worksIdioms & multiword expressions · 222 works
Cite
Cite as Saif M. Mohammad. 2026. From Trial by Fire To Sleep Like a Baby: A Lexicon of Anxiety Associations for 20k English Multiword Expressions. arXiv:2602.18692 · LREC 2026.
@misc{mohammad2026trial,
title = {{From Trial by Fire To Sleep Like a Baby: A Lexicon of Anxiety Associations for 20k English Multiword Expressions}},
author = {Saif M. Mohammad},
year = {2026},
doi = {10.48550/arxiv.2602.18692},
eprint = {2602.18692},
archivePrefix = {arXiv},
url = {https://doi.org/10.48550/arxiv.2602.18692}
}References
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