General principles of human cognition can help to explain why languages are more likely to have certain characteristics than others: structures that are difficult to process or produce will tend to be lost over time. One aspect of cognition that is implicated in language use is working memory--the component of short-term memory used for temporary…

Research has indicated that lexical richness is an important indicator of second language (L2) proficiency. However, most research has examined written, cross-sectional English L2 corpora and does not necessarily indicate how spoken lexical use develops over time or whether observed trends are stable across L2s. This study adds to previous…

This dissertation investigates when and how children figure out the force of modals, that is, when and how they learn that "can/might" express possibility, whereas must/have to express necessity. Learning modal force raises a logical "Subset Problem": given that necessity entails possibility, what prevents learners from…

The use of social robots in education is a growing area of research and the potential future applications are various. However, the conversational models behind current social robots and chatbot systems often rely on rule-based and retrieval-based methods. This limits the social robot to predefined responses and topics, thus hindering it from…

Indigenous language reclamation efforts are pushing academic ideas of what language is, in order to be accountable to Indigenous epistemologies. Simultaneously, as our Indigenous languages grow, we (academics) are pushed to grow beyond the boundaries of disciplines. Categories of "language" and "land" have been segregated by…

Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…

Using a corpora approach involves using a series of texts in the language under study as a type of corpus on which to base acquisition. Languages in all forms (written, spoken, performed, formal, informal, etc.) are captured all the time through online and digital platforms, apps, etc. making them highly accessible. Applying corpora in teaching…

This study aims at shedding light on the linguistic significance of collocation networks in the academic writing context. Following Firth's principle "You shall know a word by the company it keeps." The study intends to examine three selected nodes (i.e. research, study, and paper) shared collocations in an academic context. This is…

The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…

Machine translation post-editing (MTPE) has become a common practice in translation industry, which calls much attention in academia. However, little research has been carried out to investigate students' cognitive and motivational individual differences in MTPE. The purpose of the present study was to examine the predictive effects of…

This investigation responds to the need for longitudinal data-driven research on additional-language (AL) acquisition by examining grammatical-gender marking among AL learners of French during a 21-month period, which included an academic year abroad (LANGSNAP corpus). The analysis of oral production consists of a generalized linear mixed model…

Interactional modification is important in SLA research because it involves correcting problematic L2 use. However, not all modifications will lead to pedagogical changes. Participants in conversational interactions are not always oriented to linguistic forms or functions. One way to address this dilemma is to examine the process by which…

Material development is important for training beginner student interpreters, as it guides the direction of interpreting learning. One key principle is difficulty progression, which requires a good knowledge of the indicators of difficulty. Since text structure outweighs words and sentences in the information processing of consecutive…

How strongly a verb is associated with a construction plays a crucial role in the learning of argument structure constructions. We examined the effect of verb-construction association strength on second language (L2) constructional generalization by analysing L2 learners' production and comprehension of two complex constructions (i.e. ditransitive…

Machine translation (MT) provides a seemingly accelerated alternative way to communicate in the target language (L2). A convenient service to the public, MT renders a potential disservice to language learners. In this pedagogically focused article, we show concrete and detailed examples of how language instructors can turn MT and other electronic…