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Computer Science > Computation and Language

arXiv:2301.02975 (cs)
[Submitted on 8 Jan 2023 (v1), last revised 20 Jul 2024 (this version, v3)]

Title:Traditional Readability Formulas Compared for English

Authors:Bruce W. Lee, Jason Hyung-Jong Lee
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Abstract:Traditional English readability formulas, or equations, were largely developed in the 20th century. Nonetheless, many researchers still rely on them for various NLP applications. This phenomenon is presumably due to the convenience and straightforwardness of readability formulas. In this work, we contribute to the NLP community by 1. introducing New English Readability Formula (NERF), 2. recalibrating the coefficients of old readability formulas (Flesch-Kincaid Grade Level, Fog Index, SMOG Index, Coleman-Liau Index, and Automated Readability Index), 3. evaluating the readability formulas, for use in text simplification studies and medical texts, and 4. developing a Python-based program for the wide application to various NLP projects.
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
Cite as: arXiv:2301.02975 [cs.CL]
  (or arXiv:2301.02975v3 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2301.02975

Submission history

From: Bruce W. Lee [view email]
[v1] Sun, 8 Jan 2023 04:33:43 UTC (4,652 KB)
[v2] Tue, 10 Jan 2023 05:54:50 UTC (4,652 KB)
[v3] Sat, 20 Jul 2024 01:00:19 UTC (4,652 KB)
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