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grapheme-kit: Grapheme-Level Metrics and Text Processing for Multilingual NLP

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Computer Science > Computation and Language

arXiv:2607.22456 (cs)
[Submitted on 24 Jul 2026]

Title:grapheme-kit: Grapheme-Level Metrics and Text Processing for Multilingual NLP

View a PDF of the paper titled grapheme-kit: Grapheme-Level Metrics and Text Processing for Multilingual NLP, by Izzath Nisfer and 4 other authors
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Abstract:Existing lexical distance, similarity, and evaluation metrics operate on Unicode code points, which can misrepresent errors in writing systems where a single grapheme is represented by multiple Unicode code points. We introduce grapheme-kit, an open-source Python library that extends these metrics to operate on grapheme clusters instead. The library also provides improved grapheme processing for Tamil and Sinhala, including accurate grapheme cluster identification and grapheme composition/decomposition utilities. Through an OCR case study, we demonstrate that grapheme-level metrics provide a more faithful evaluation of complex scripts.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2607.22456 [cs.CL]
  (or arXiv:2607.22456v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2607.22456
arXiv-issued DOI via DataCite

Submission history

From: Menan Velayuthan [view email]
[v1] Fri, 24 Jul 2026 16:14:37 UTC (1,293 KB)
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