---
title: "Who cites On the Proper Treatment of Tokenization in…"
description: "20 papers of the Elamur Research library cite «On the Proper Treatment of Tokenization in Psycholinguistics», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/giulianelli-2024-proper-treatment-tokenization-psycholinguistics/cited-by/"
---
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# Who cites «On the Proper Treatment of Tokenization in Psycholinguistics»

20 papers of our library cite it (of the 140,884 whose bibliographies we read) · 4 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/giulianelli-2024-proper-treatment-tokenization-psycholinguistics/)

1. [**The Impact of Token Granularity on the Predictive Power of Language Model Surprisal**Byung-Doh Oh, William Schuler*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/oh-2025-impact-token-granularity-predictive-power/)
2. [**IPA CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Modeling**Zébulon Goriely, Paula Buttery*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/goriely-2025-ipa-childes-g2p-feature-rich/)
3. [**Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal**Sathvik Nair, Byung-Doh Oh*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nair-2026-clozing-gap-exploring-why-language/)
4. [**Word predictability estimates from language models are not robust to tokenizer vocabulary**Kien Nguyen, Suhas Arehalli*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-word-predictability-estimates-language-models/)

16 more papers of our library cite it; they have no page here yet.

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