It has been hypothesized that morphologically-complex words are mentally stored in a decomposed form, often requiring online composition during processing. Morphologically-simple words can only be stored as a whole. The way a word is stored and retrieved is thought to influence its realization during speech production, so that when retrieval requires less time, the articulatory plan is executed faster. Faster articulatory execution could result in more coarticulation. Accordingly, we hypothesized that morphologically-simple words might be produced with more coarticulation than apparently homophonous morphologically-complex words, because the retrieval of monomorphemic forms is direct, in contrast to morphologically-complex ones, which might need to be composed online into full word forms. Using Ultrasound Tongue Imaging, we tested this hypothesis with nine speakers of Scottish English. Over two days of training, participants learned phonemically identical monomorphemic and morphologically-complex nonce words, while on the third consecutive testing day, they produced them in two prosodic contexts. Two types of articulatory analyses revealed no systematic differences in coarticulation between monomorphemic and morphologically-complex items, yet a few speakers did idiosyncratically produce some morphological effects on articulation. Our work contributes to our understanding of how morphologically complex words are stored and processed during speech production.

据推测，形态复杂的单词在心理上以分解的形式存储，在处理过程中通常需要在线合成。形态上简单的词只能作为一个整体存储。单词的存储和检索方式被认为会影响其在语音生成过程中的实现，因此当检索所需的时间较少时，发音计划执行得更快。更快的发音执行可能会导致更多的发音。因此，我们假设，与表面上同音的形态复杂词相比，形态上简单的词可能会产生更多的共同发音，因为单词素形式的检索是直接的，而形态复杂的词可能需要在线组合成完整的词形式。使用超声舌成像，我们用九个说苏格兰英语的人测试了这个假设。在为期两天的培训中，参与者学习了音位相同的单语素和形态复杂的现时词，而在连续第三天的测试日，他们在两个韵律上下文中生成了这些词。两种类型的发音分析显示单语素和形态复杂项目之间的共同发音没有系统差异，但一些说话者确实对发音产生了一些特殊的形态影响。我们的工作有助于我们理解在语音生成过程中如何存储和处理形态复杂的单词。他们在两种韵律背景下制作它们。两种类型的发音分析显示单语素和形态复杂项目之间的共同发音没有系统差异，但一些说话者确实对发音产生了一些特殊的形态影响。我们的工作有助于我们理解在语音生成过程中如何存储和处理形态复杂的单词。他们在两种韵律背景下制作它们。两种类型的发音分析显示单语素和形态复杂项目之间的共同发音没有系统差异，但一些说话者确实对发音产生了一些特殊的形态影响。我们的工作有助于我们理解在语音生成过程中如何存储和处理形态复杂的单词。