Department of Computer Science, University of California, Davis, CA, USA.
Centre de recherche CERVO et Département de réadaptation, Université Laval, Québec, Canada.
Behav Res Methods. 2020 Jun;52(3):1008-1025. doi: 10.3758/s13428-019-01297-z.
Studies on morphological processing in French, as in other languages, have shown disparate results. We argue that a critical and long-overlooked factor that could underlie these diverging results is the methodological differences in the calculation of morphological variables across studies. To address the need for a common morphological database, we present MorphoLex-FR, a sizeable and freely available database with 12 variables for prefixes, roots, and suffixes for the 38,840 words of the French Lexicon Project. MorphoLex-FR constitutes a first step to render future studies addressing morphological processing in French comparable. The procedure we used for morphological segmentation and variable computation is effectively the same as that in MorphoLex, an English morphological database. This will allow for cross-linguistic comparisons of future studies in French and English that will contribute to our understanding of how morphologically complex words are processed. To validate these variables, we explored their influence on lexical decision latencies for morphologically complex nouns in a series of hierarchical regression models. The results indicated that only morphological variables related to the suffix explained lexical decision latencies. The frequency and family size of the suffix exerted facilitatory effects, whereas the percentage of more frequent words in the morphological family of the suffix was inhibitory. Our results are in line with previous studies conducted in French and in English. In conclusion, this database represents a valuable resource for studies on the effect of morphology in visual word processing in French.
对法语和其他语言的形态处理的研究结果不尽相同。我们认为,一个被忽视的关键因素可能是研究中计算形态变量的方法学差异,这导致了这些差异。为了解决对通用形态数据库的需求,我们提出了 MorphoLex-FR,这是一个规模可观且免费提供的数据库,包含了法语词汇项目 38840 个单词的 12 个前缀、词根和后缀变量。MorphoLex-FR 是实现未来法语形态处理研究可比性的第一步。我们用于形态分割和变量计算的程序与 MorphoLex(英语形态数据库)相同。这将允许对未来的法语和英语形态处理研究进行跨语言比较,从而促进我们对形态复杂单词的处理方式的理解。为了验证这些变量,我们在一系列层次回归模型中探索了它们对形态复杂名词的词汇判断潜伏期的影响。结果表明,只有与后缀相关的形态变量才能解释词汇判断潜伏期。后缀的频率和家族大小产生促进作用,而后缀的形态家族中更常见单词的百分比则产生抑制作用。我们的结果与之前在法语和英语中进行的研究一致。总之,这个数据库为研究法语视觉词汇处理中形态的影响提供了有价值的资源。