Full MWU List.xlsx

Multi-word units (MWUs) are two or more words commonly co-occur. There is evidence that knowledge of high-frequency MWUs is essential to language fluency, leading to growing research identifying valuable MWUs to learn and the impact of L1-L2 congruency and semantic transparency on the learning burden of MWUs. Therefore, there needs to be more research on which MWUs should be selected with these criteria. This article highlights an investigation of the role of congruency and semantic transparency using a corpus-based list that offers a sizable sample of MWUs that appear in general English. In this study, we analysed a list of 11,212 high-frequency MWUs created using a lemmatised concgramming approach to examine the role of semantic transparency and L1-L2 congruency. The list was translated into Persian, and L1-L2 congruency ratings were given to each item. The list was also classified based on Grant and Bauer’s (2004) taxonomy to explore the role of semantic transparency to determine the extent to which these two factors play a role in the learning burden of the MWUs. The results showed that 85% of items were literal, and a low number of opaque items were found in the high L1-L2 congruency rating, suggesting a positive relationship between congruency and transparency.

多词单元（Multi-word Units, MWUs）指通常共同出现的两个及以上词汇。已有研究证实，掌握高频多词单元对语言流畅性至关重要，这推动了相关研究不断涌现——既有研究致力于识别具备学习价值的多词单元，也有研究探究一语-二语（L1-L2）一致性与语义透明度对多词单元学习负担的影响。然而，目前仍需更多研究来明确应依据上述两项标准筛选哪些多词单元。本文针对一项基于语料库的多词单元列表展开研究，该列表涵盖了通用英语中出现的规模可观的多词单元样本，旨在探究一致性与语义透明度的作用。本研究采用词形还原共词编程法（lemmatised concgramming）生成了包含11212个高频多词单元的列表，并对其展开分析，以考察语义透明度与一语-二语一致性的影响。该列表已被译为波斯语，且为每个条目赋予了一语-二语一致性评级。此外，本研究还依据格兰特与鲍尔（Grant and Bauer, 2004）的分类体系对该列表进行分类，以进一步探索语义透明度的作用，进而明确这两个因素对多词单元学习负担的影响程度。研究结果表明，85%的条目为字面义形式；在高一语-二语一致性评级的条目中，非透明多词单元的占比较低，这提示一致性与透明度之间存在正向关联。