🗣️ Patterns of Priming in Production 💬

Lexical, Semantic and Structural Alignment in Language Model Generation

Giulia Pucci^♥   Ruizhe Li^♥♦   Arabella Sinclair^♥★

University of Aberdeen ♥   University of Birmingham ♦   University College London ★

giulia.pucci@abdn.ac.uk   r.li.7@bham.ac.uk   arabella.sinclair@ucl.ac.uk

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Overview

This repository contains the code, datasets, and analysis scripts accompanying the paper:

Patterns of Priming in Production: Lexical, Semantic and Structural Alignment in Language Model Generation

The paper was accepted to Findings of the Association for Computational Linguistics: EMNLP 2026, with 14.3% acceptance rate.

The repository provides all resources necessary to reproduce the experiments and analyses presented in the paper, including data preprocessing, experimental pipelines, statistical analyses, and figure generation.

If you use this repository, dataset, or code in your research, please cite:

@inproceedings{pucci2026patterns,
  title     = {Patterns of Priming in Production: Lexical, Semantic and Structural Alignment in Language Model Generation},
  author    = {Pucci, Giulia and Li, Ruizhe and Sinclair, Arabella},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2026},
  year      = {2026}
}

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License

Please see the LICENSE file for licensing information.

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Acknowledgements

If you build upon this work, please cite the accompanying paper. We hope that making our code, datasets, and analyses publicly available supports transparency, reproducibility, and future research on linguistic alignment in large language models.