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    <abstract>Tokenization quality varies significantly across languages, contributing to disparities in LLM performance and cost for speakers of less-resourced languages – a phenomenon known as the “token premium” problem. Despite growing research interest, no existing tool provides a comprehensive intrinsic evaluation of tokenizers paired with interactive visualization. We present TokCollate (pronounced similarly to chocolate), a Python-based evaluation framework combined with a JavaScript visualization interface that addresses this gap. TokCollate implements a wide range of intrinsic metrics, including monolingual measures such as average token length and Rényi/Shannon efficiency, and cross-lingual measures such as vocabulary overlap, Jensen-Shannon divergence, alignment-based Eflomal scores, and length ratios. It further enables analysis across language groups defined by genealogical families, scripts, geographic regions, speaker populations, and estimated data availability. TokCollate is open-source under the MIT license and available on GitHub.</abstract>
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%0 Conference Proceedings
%T TokCollate: A Comprehensive Tool for Tokenizer Evaluation and Visualization across Languages
%A Variš, Dušan
%A Stephen, Abishek
%A Libovický, Jindřich
%Y Durrett, Greg
%Y Jian, Ping
%S Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, United States
%@ 979-8-89176-392-0
%F varis-etal-2026-tokcollate
%X Tokenization quality varies significantly across languages, contributing to disparities in LLM performance and cost for speakers of less-resourced languages – a phenomenon known as the “token premium” problem. Despite growing research interest, no existing tool provides a comprehensive intrinsic evaluation of tokenizers paired with interactive visualization. We present TokCollate (pronounced similarly to chocolate), a Python-based evaluation framework combined with a JavaScript visualization interface that addresses this gap. TokCollate implements a wide range of intrinsic metrics, including monolingual measures such as average token length and Rényi/Shannon efficiency, and cross-lingual measures such as vocabulary overlap, Jensen-Shannon divergence, alignment-based Eflomal scores, and length ratios. It further enables analysis across language groups defined by genealogical families, scripts, geographic regions, speaker populations, and estimated data availability. TokCollate is open-source under the MIT license and available on GitHub.
%U https://aclanthology.org/2026.acl-demo.41/
%P 418-427

Markdown (Informal)

[TokCollate: A Comprehensive Tool for Tokenizer Evaluation and Visualization across Languages](https://aclanthology.org/2026.acl-demo.41/) (Variš et al., ACL 2026)

• TokCollate: A Comprehensive Tool for Tokenizer Evaluation and Visualization across Languages (Variš et al., ACL 2026)

ACL

• Dušan Variš, Abishek Stephen, and Jindřich Libovický. 2026. TokCollate: A Comprehensive Tool for Tokenizer Evaluation and Visualization across Languages. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 418–427, San Diego, California, United States. Association for Computational Linguistics.