ABSTRACT

Comparing the dialectal classifications into disjointed zones with the representation of populations in a geolectal continuum has emphasized the importance of transition regions. Identifying these regions has been the subject of study in the scientific literature, although research has not been conducted in a reliable manner. Based on the Basque ‘Bourciez’ Corpus, we have highlighted the limitations of dialectal classifications using deterministic methods along with the possibilities provided by fuzzy logic. By contributing objectivity to the analysis, the C-means classification has allowed us to retain information from the deterministic classification, identify transition regions, emphasize the geolectal continuum and minimize the artificial isolation of certain populations in the classification. Classifying the French-Basque territory into two groups has separated the populations into two nearly-disjointed dialectal zones. Classifications into three and four groups have underscored the broad overlap between adjacent linguistic zones. This paper’s contribution has provided a new explanatory dimension and consequently improves the linguistic interpretation. In this sense, the results are in accordance with the previous contributions described in the literature and have justified the integration of different viewpoints.

摘要

将方言分类与地理连续统中的人口表示进行比较，强调了过渡区域的重要性。识别这些区域一直是科学文献中的研究主题，尽管研究尚未以可靠的方式进行。基于巴斯克语“Bourciez”语料库，我们强调了使用确定性方法以及模糊逻辑提供的可能性的方言分类的局限性。通过为分析提供客观性，C 均值分类使我们能够保留来自确定性分类的信息、识别过渡区域、强调地质连续体并最大限度地减少分类中某些人群的人为隔离。将法国 - 巴斯克地区分为两组，将人口分为两个几乎不相交的方言区。三组和四组的分类强调了相邻语言区之间的广泛重叠。本文的贡献提供了一个新的解释维度，从而改进了语言解释。从这个意义上说，结果与文献中描述的先前贡献一致，并且证明了不同观点的整合是合理的。