In the fields of vision science, cognitive psychology, and psycholinguistics, the accurate measurement of reading speed is frequently hampered by the limitations of static reading charts. Repeated testing often leads to memorization effects, while the requirement for oral recitation introduces speech-motor confounds that obscure true information processing speed. To address these methodological hurdles, this paper introduces an open-source MATLAB toolbox that adapts the sentence generation paradigm originally proposed by Perrin, Paillé, and Baccino (2014) for the English language. This system utilizes a semantic ontology and a "proto-truth" logic to autonomously generate thousands of unique, grammatically simple sentences with unambiguous truth values. Beyond the original scope of Maximum Reading Speed (MRS) measurement, this implementation introduces band-pass psycholinguistic filtering and specific logic to resolve semantic ambiguities unique to English. We present this complete software package as an open platform for the scientific community to validate and refine.

翻译：在视觉科学、认知心理学和心理语言学领域中，阅读速度的精确测量常受限于静态阅读图表的不足。重复测试易导致记忆效应，而口头朗读要求会引入言语运动混淆变量，掩盖真实信息处理速度。为应对这些方法论难题，本文介绍一款开源MATLAB工具箱，该工具箱改编了Perrin、Paillé和Baccino（2014）最初为法语提出的句子生成范式，使其适配英语。该系统利用语义本体和“原初真理”逻辑，自主生成数千个语法简单、具有明确真值的独特句子。在最大阅读速度（MRS）测量的原始范围之外，本实现引入了带通心理语言学滤波和特定逻辑，以解决英语独有的语义歧义。我们将此完整软件包作为开放平台提供给科学界，以供验证和优化。