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Morphological learning in a novel language: A cross-language comparison

机译:新型语言中的形态学学习:跨语言比较

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Being able to extract and interpret the internal structure of complex word forms such as the English word dance+r+s is crucial for successful language learning. We examined whether the ability to extract morphological information during word learning is affected by the morphological features of one's native tongue. Spanish and Finnish adult participants performed a word-picture associative learning task in an artificial language where the target words included a suffix marking the gender of the corresponding animate object. The short exposure phase was followed by a word recognition task and a generalization task for the suffix. The participants' native tongues vary greatly in terms of morphological structure, leading to two opposing hypotheses. On the one hand, Spanish speakers may be more effective in identifying gender in a novel language because this feature is present in Spanish but not in Finnish. On the other hand, Finnish speakers may have an advantage as the abundance of bound morphemes in their language calls for continuous morphological decomposition. The results support the latter alternative, suggesting that lifelong experience on morphological decomposition provides an advantage in novel morphological learning.
机译:能够提取和解释复杂单词形式的内部结构,例如英语单词dance + r + s,对于成功学习语言至关重要。我们检查了单词学习过程中提取形态信息的能力是否受到母语的形态特征的影响。西班牙和芬兰的成年参与者以一种人造语言执行了单词图片联想学习任务,其中目标单词包括一个后缀,用于标记相应有生命对象的性别。简短的曝光阶段之后是单词识别任务和后缀的泛化任务。参与者的母语在形态结构方面差异很大,导致两个相反的假设。一方面,说西班牙语的人可能会更有效地以一种新颖的语言识别性别,因为该功能在西班牙语中存在,但在芬兰语中却没有。另一方面,讲芬兰语的人可能会有一个优势,因为他们的语言中大量绑定的语素要求进行连续的形态分解。结果支持后一种选择,表明终身的形态分解经验为新型形态学学习提供了优势。

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