The article revisits the canonical (Dem>Num>A>N) and non-canonical (A>Dem>Num>N & Dem>A>Num>N) prenominal patterns in Mandarin Chinese, from the perspective of the Labeling Algorithm. It shows that the syntactic distribution of adjectives are different, depending on the attributive-predicative sources and the…

This study examines the application of corpus linguistics in English language teaching (ELT) in Colombia, where its practical adoption remains limited compared to many developed countries. Data were gathered through a survey of English instructors at Colombian universities to assess their familiarity with corpus linguistics. Findings indicate…

This dissertation advances research on evaluation (RoE) through a trio of studies focusing on the role of context and the innovative use of Linguistic Inquiry and Word Count (LIWC) software in formative evaluation in a qualitative research project. The first article extends Coryn et al. (2017) and elucidates how various contextual…

This study applies the Apriori algorithm to analyse patterns, syntactic structures, and thematic clusters in Chinese studies data from various genres. This study aims to identify recurring linguistic elements in order to shed light on the dynamic nature of the Chinese language across different contexts and time periods. The Apriori algorithm is…

As language technologies have become more sophisticated and prevalent, there have been increasing concerns about bias in natural language processing (NLP). Such work often focuses on the effects of bias instead of sources. In contrast, this paper discusses how normative language assumptions and ideologies influence a range of automated language…

In the age when environmental sustainability is among the chief concerns and goals of communities around the world, a number of linguistic studies have been conducted to illuminate the roles of language in protection and destruction of ecological systems. Most of the studies, however, focus on written and/or formal discourses. The present study…

In order to facilitate the instruction and acquisition of EFL writing, this paper compares the uses of the light verb "get" in English writing by Chinese and L1 undergraduates by drawing on insights from the theory of norms and exploitations (TNE). Corpus pattern analysis (CPA) is conducted to analyze the data taken from two comparable…

Despite the growing interest in AI for language assessment, there remains a significant research gap regarding its usefulness for assessing less proficient language skills, particularly those of learners of English as a second or foreign language (S/FL). AI models often prioritize proficient writing, neglecting the intricacies of learner language.…

Corpus-based studies of lexical bundles have opened new avenues for language teaching research. The fact that naturally occurring language consists of patterns of lexical repetition and multi-word units has given rise to the question of chunkiness in learner language. This study was designed to examine lexical bundles and their functions in a…

Anticipatory "it" pattern, which encodes interpersonal stance, plays a crucial role in academic writing. While previous studies have been explored the overuse and the underuse of this pattern among English as a Foreign Language (EFL) learners and published writers, there has been limited exploration of how EFL learners use the…

This experimental study, and partial replication of Sun and Hu (2020), examined how and to what extent direct (i.e., hands-on corpus use) or indirect (i.e., hands-off corpus use) online data-driven learning (DDL) modules were able to assist Chinese writers from an English as a foreign language (EFL) context in using more appropriate hedging (i.e.,…

Issues of intelligibility may arise amongst English learners when acquiring new words and phrases in North American academic settings, perhaps in part due to limited linguistic data available to the learner for understanding language use patterns. To this end, this paper examines the effects of Data-Driven Learning for Pronunciation (DDLfP) on…