The study of crosslinguistic influences (CLI) has proven that morphosyntactic features exhibit CLI. Technical development and novel resources have enabled detection-based approaches, where potential CLI are revealed based on their observed frequencies and on differences between learners with different language backgrounds. The two research questions are as follows: (i) How construction-specific typological (dis)similarities between L1 and L2 affect the frequencies of linguistic features? (ii) Can such (dis)similarities be detected by comparing feature frequency data of L2? The data come from the International Corpus of Learner Finnish, and the methodology applied is the key structure analysis. The results support the applicability of the method: they show that constructional similarities may trigger CLI construction by construction, irrespective of the general similarities or genealogical categorizations. The results further imply the importance of controlling the genre-related and topical variation to account for skewed nature of the data when dealing with naturally occurring learner language data.

中文翻译：

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学习者语言形态作为跨语言影响的窗口：关键结构分析

跨语言影响 (CLI) 的研究证明，形态句法特征表现出 CLI。技术发展和新资源使基于检测的方法成为可能，其中潜在的 CLI 根据观察到的频率和具有不同语言背景的学习者之间的差异来揭示。这两个研究问题如下：（i）L1 和 L2 之间特定于结构的类型（不）相似性如何影响语言特征的频率？(ii) 是否可以通过比较 L2 的特征频率数据来检测这种（不）相似性？数据来自国际芬兰语语料库，所采用的方法是关键结构分析。结果支持该方法的适用性：它们表明构造相似性可能会触发 CLI 构造逐个构造，与一般相似性或家谱分类无关。结果进一步暗示了在处理自然发生的学习者语言数据时控制与体裁相关和主题变化以解释数据的倾斜性质的重要性。