Lexical knowledge is complex, multidimensional, and difficult to pin down to a set of defined components. The development, organization, and use of lexical knowledge in the first and additional languages are studied in a number of neighbouring disciplines beyond second language acquisition and applied linguistics, including psycholinguistics,…

Evidence from the contemporary translation services market and many centuries of translation practice demonstrate that translation into a non-native language (L2 translation) can be performed effectively, despite the once-strong resistance to it on the grounds of it being perceived as unprofessional and inherently deficient. L2 translation is in…

Morpheme-based literacy training programs are widely used in German primary schools. This study investigated whether (1) morphological training is effective early in development (Grade 2) and (2) literacy gains can be attributed to advanced morphological processing. Fifty-two German-speaking second-graders participated in an eight-week…

The quality of the physical language signals to which learners are exposed and which result in neurobiological activity leading to perception constitutes a variable that is rarely, if ever, considered in the context of language learning. It deserves some attention. The current study identifies an optimal audio language input signal for Chinese…

There is evidence that orthographic knowledge can influence on-line spoken-word recognition. Interestingly, when graphic and phonetic codes are not congruent due to the application of phonological alternation processes, people report hearing sounds that are matched to graphic (underlying), not phonetic codes (Hallé et al. in J Mem Lang 43:618-639,…

As a basic indicator of verbal ability, verbal fluency refers to the degree of fluency in the use of language to convey information. The different components of working memory play an important role in verbal fluency. The inhibiting control mechanism takes place during L2 production processing in bilinguals, which may affect their verbal fluency…

This paper analyzes the strategies and challenges involved in the translation of English idioms in a specific domain of broadcast media. Current technology and distribution networks make it possible to watch series from around the world shortly after they are aired in their original language. Although sometimes dubbed, Internet-based TV series are…

This article presents an overview of the creation and consolidation of an undergraduate certificate in Spanish translation offered at the University of Texas at Arlington. The certificate is a 15 credit-hour program oriented towards community translation and service-learning. It also offers a curricular model that could be beneficial for other…

Negation is a universal component of human language; polarity sensitivity (i.e., lexical distributional constraints in relation to negation) is arguably so while being pervasive across languages. Negation has long been a field of inquiry in psychological theories and experiments of reasoning, which inspired many follow-up studies of negation and…

Teaching computer-assisted translation (CAT) can require providing students with direct instructions on how to operate specific CAT tools. As opposed to subjects like translation theories, the teaching of CAT is often expected not only to instigate critical reflection but also to develop students' instrumental software skills. Striking a balance…

An overarching motivation driving my research has been to further our theoretical understanding of how readers successfully comprehend challenging text. This article describes the theoretical origins of this research program and my quest to understand comprehension processes through the use of technology. Coh-Metrix was developed to measure, and…

An overarching motivation driving my research has been to further our theoretical understanding of how readers successfully comprehend challenging text. This article describes the theoretical origins of this research program and my quest to understand comprehension processes through the use of technology. Coh-Metrix was developed to measure, and…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

In this study, we work towards a strategy to measure and enhance the quality of interactions in discussion forums at scale. We present a machine learning (ML) model which identifies the phase of cognitive presence exhibited by a student's post and suggest future applications of such a model to help online students develop higher-order thinking. We…

Learning computer programming is a challenging task for most beginners. Demotivation and learned helplessness are pretty common. A novel instructional technique that leverages the value-expectancy motivational model of student learning was conceptualized by the author to counter the lack of motivation in the introductory class. The result was a…