Research into vocabulary knowledge often differentiates between breadth (how many words a person knows) and depth (how well the words are known). Both theoretical categories are essential for understanding language learners' lexical development, but how the different aspects of vocabulary knowledge interconnect has not received the same attention…

This study outlines the steps taken to create an academic multi-word unit list derived from corpus data. It gives details on the procedure used and the rationale behind why certain approaches were utilised. It also compares existing resources and makes some suggestions for practical use of the resulting resource.

The use of appropriate of words in writing, particularly frequently occurring four words combinations in academic register, is very important because it is an effective building block of academic text used by expert writers for effective communication. Yet teaching of four-word lexical bundles is rarely discussed in ESL writing textbooks. Recent…

This early-stage feasibility study investigated the effects of a multitiered oral narrative language intervention on oral language, reading comprehension, and writing. Twenty-eight second-grade students participated in this quasi-experimental control group study with assignment at the classroom level. The independent variable was large- and…

This study investigates the possibility and efficacy of paper-based, in-class, data-driven learning (DDL) of academic lexical bundles below the C1 level of proficiency described by the Common European Framework of Reference (CEFR; advanced high ACTFL). A two-stage experimental design involving three groups (n = 41) and 24 two-to-four word academic…

This article reports on a language learning system and a program designed to help students with academic vocabulary in the New Zealand university computer science department. The system is a learner-friendly corpus-based tool that allows students to look up lexico-grammatical patterns of a given word in academic writing. The program, based on a…