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Using Letter Positional Probabilities to Assess French Word Complexity

Michael Dalvean · 2026 · arXiv

DOI: 10.48550/arXiv.2610.28040 · open-access PDF

Chinese

我们使用字母定位概率(LPPs)来检查简单和复杂的法语单词之间的拼写差异。我们从一个以语法决策任务的反应时间得分的38000个法语单词的样本中抽取。我们将5000个最高的反应时间单词和5000个最低的单词作为高和低单词复杂性群体的代理。我们根据单词结构创建了18个变量,如字母长度和数目。我们还将每个单词缩小为二进制值串,根据标准法语字母的42个字符单一加密每个字母。

Machine translation (Meta M2M100); the English original follows.

Abstract

We use Letter Positional Probabilities (LPPs) to examine the orthographic differences between simple and complex French words. We draw from a sample of 38,000 French words scored by reaction time on a lexical decision task. We take the 5000 highest reaction time words and the 5000 lowest as a proxy for high and low word complexity groups respectively. We create 18 variables based on the structure of the words, such as length and number of syllables. We also reduce each word to a string of binary values by one-hot encoding each letter according to the 42 characters of the standard French alphab

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