Lexical bundles (LBs) are frequent groups of words that appear repeatedly in different academic texts. A plethora of research has explored their distribution and usage in general, particularly in academic texts. However, to our knowledge, the extent of research investigating LBs in the discussion sections of Medical Research Articles (MRAs) is…

The study explored the impact of proficiency, frequency, L1-L2 congruency, and semantic transparency on the knowledge of multi-word units (MWUs) among Iranian L2 learners (N = 256). A gap-filling test was used to assess learners' productive knowledge, employing a high-frequency MWU list created with the lemmatised concgramming method. The list,…

This dissertation examines whether and how psycholinguistic priming, and social knowledge are integrated in the identification of sociolinguistic variants. Using the English variable (ING), the alternation between -ing and -in' (e.g. thinking vs. thinkin') as a testing ground, this dissertation probes whether and how individuals utilize…

Whereas a growing bulk of work has demonstrated that both adults and children are sensitive to frequently occurring word sequences, little is known about the potential role of meaning in the processing of such multiword chunks. Here, we take a first step toward assessing the contribution of meaningfulness in the processing of multiword sequences,…

In this reflective paper, we review the currently-used word classification system proposed by linguist Paul Nation (2013, 2015) and the position of the academic vocabulary in this system. Different lexical layers in this system are explained as well as the underlying assumptions. Then, taking a critical position, we raise a number of criticisms…

Sixty-one junior high school students in Japan participated twice in an online English group conversation lesson. At the first half of a session, each student gave an individual presentation to a Filipino instructor and the other group members. At the second half of the session, they conducted discussions, where the instructor, as the facilitator,…

Usage-based approaches to additional-language acquisition have identified numerous determinants of language learning, two of which were the focus of our study: frequency and cue contingency. Specifically, we examined how an immersion experience may impact sensitivity to these two determinants as reflected in the production of 4,808 pairs of nouns…

Recent studies suggest that developing L2 receptive knowledge of single words is associated with increased receptive knowledge of collocations. However, no study to date has directly examined the interrelationship between productive word knowledge and productive collocation knowledge. To address this gap, the present study administered a…

Assessment of text readability is important for assigning texts at the appropriate level to readers at different proficiency levels. The present research approached readability assessment from the lexical perspective of word frequencies derived from corpora assumed to reflect typical language experience. Three studies were conducted to test how…

General academic words are those which are typically learned through exposure to school texts and occur across disciplines. We examined academic vocabulary assessment data from a group of English-speaking middle school students (N = 1,747). We tested how word frequency, complexity, proximity, polysemy, and diversity related to students' knowledge…

General academic words are those which are typically learned through exposure to school texts and occur across disciplines. We examined academic vocabulary assessment data from a group of English-speaking middle school students (N = 1,747). We tested how word frequency, complexity, proximity, polysemy, and diversity related to students' knowledge…

We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…

Purpose: This study sought to 1) identify linguistic features important for Chinese text complexity with a theory-based and systematic approach, and 2) address how feature sets and algorithms affect the performance of Chinese text complexity models. Method: Texts from Chinese language arts textbooks from Grades 1 to 6 (N = 1,478) in Mainland China…

Children learn high phonological neighbourhood density words more easily than low phonological neighbourhood density words (Storkel, 2004). However, the strength of this effect relative to alternative predictors of word acquisition is unclear. We addressed this issue using communicative inventory data from 300 British English-speaking children…

The words in a language or language variety are often rank ordered in lists that are meant to reflect the relative importance of those words to language users and learners of a language. This rank ordering is done on the basis of the relative prevalence of words in a corpus. Lexical prevalence is often operationalized as measures of frequency,…