
Abstract The interaction between lexis and grammatical patterns has been known in the literature as lexicogrammar, and research in this area has suggested that learning vocabulary necessitates learning accompanying grammatical patterns. Existing academic wordlists, focusing on isolated vocabulary items out of grammatical context, thus could be enriched with their target vocabulary's common grammatical patterns. This paper therefore describes the lexicogrammar of academic vocabulary on the widely used Academic Word List and recently published Secondary Vocabulary Lists. From a corpus of secondary school reading material, it extracts the grammatical patterns frequently associated with academic vocabulary. Drawing on frameworks such as Pattern Grammar and Construction Grammar, and using methods such as colligation and collexeme analysis, this study describes the subset of academic vocabulary associated with particular grammatical patterns. Furthermore, the results of this study are developed into a pedagogical resource that lists the vocabulary and grammar interactions, along with authentic examples of the interaction from the corpus and relevant statistical information. The paper offers specific pedagogical uses of how the resource, named the Lexicogrammar of Academic Vocabulary lists (LAV lists), can be used for developing the breadth and depth of academic vocabulary knowledge in students.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
