Phraseology has been flourishing in the field of English writing studies in recent years. However, the focus has primarily been on items with less variability, such as ngrams or lexical bundles. To address this gap, this study investigates concgrams (Cheng et al., 2006), which encompass both constituency and positional variations, in advanced…

This study quantitatively measures the variation in language derived from a targeted set of digital game mechanics. Mechanics refer to the design elements of a game that make up the overall gameplay experience, determining player actions and the degree of language interaction. A corpus was compiled by extracting the language files from two popular…

Teacher-moderated online chats are a common option for conducting writing conferences with students. The efficacy of chat sessions is impacted by the expectations for and structure of these sessions. This corpus-based study used a move analysis to determine the purposes and organization of 129 chats between 3 experienced teachers and 106 students…

The use of educational technologies to teach a second language (L2) in general, and L2 vocabulary in particular, has mass appeal among computer-assisted language learning (CALL) practitioners. The main objective of the present study is to report the challenges and affordances of technologies used for computer-assisted vocabulary learning (CAVL),…

Artificial intelligence (AI) for supporting second language (L2) writing processes and practices has garnered increasing interest in recent years, establishing AI-mediated L2 writing as a new norm for many multilingual classrooms. As such, the emergence of AI-mediated technologies has challenged L2 writing instructors and their philosophies…

This study explores college EFL learners' construction of identity through the analysis of their pragmatic choices in digital stories, in which they narrated their relationship with another person they had helped in the past. More specifically, such choices were examined following Relational Dialectics Theory in learners' enactments of…

In this article, we focus on the design of a second language (L2) formative feedback system that provides linguistic complexity graph reports on the writings of English for special purposes students at the university level. The system is evaluated in light of formative instruction features pointed out in the literature. The significance of…

Second language learners are faced with the challenging task of remembering many new words. Exactly how learners are supposed to accomplish that task is disputed. Research on lexical processing that has been carried out in cognitive psychology showed that rehearsing words in expanded patterns, that is, with a delay between each rehearsal, leads to…

This study compares the effectiveness of online textual glosses enhanced with modified corpus-extracted sentences presented in concordance lines and textual glosses enhanced with dictionary definitions drawn from an online learner's dictionary for academic vocabulary learning at higher proficiency levels. Particularly, the study aimed to determine…

Researchers working with learner corpora promise quantitative results that would be of greater practical value in areas such as CALL than those from small-scale and qualitative studies. However, learner corpus research has not yet had an impact on practices in teaching and assessment. Significant methodological issues need to be examined if…

This study reports on the design and testing of an integrated suite of vocabulary training games for Nintendo[TM] collectively designated "My Word Coach" (Ubisoft, 2008). The games' design is based on a wide range of learning research, from classic studies on recycling patterns to frequency studies of modern corpora. Its general usage…

In this study, we focus on particle errors and discuss an annotation scheme for Korean learner corpora that can be used to extract heuristic patterns of particle errors efficiently. We investigate different properties of particle errors so that they can be later used to identify learner errors automatically, and we provide resourceful annotation…

Error diagnosis in ICALL typically analyzes learner input in an attempt to abstract and identify indicators of the learner's (mis)conceptions of linguistic properties. For written input, this process usually starts with the identification of tokens that will serve as the atomic building blocks of the analysis. In this paper, we discuss the…

In this paper we present a system for automatic correction of errors made by learners of English. The system has two novel aspects. First, machine-learned classifiers trained on large amounts of native data and a very large language model are combined to optimize the precision of suggested corrections. Second, the user can access real-life web…

A crucial question for automatically analyzing learner language is to determine which grammatical information is relevant and useful for learner feedback. Based on knowledge about how learner language varies in its grammatical properties, we propose a framework for reusing analyses found in corpus annotation and illustrate its applicability to…