Data-Driven Learning in Enhancing Learners’ Language Idiomaticity

Enhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining

This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...

Enhancing Authentic Texts for Language Learners

Enhancing Authentic Web Pages for Language Learners

Second language acquisition research since the 90s has emphasized the importance of supporting awareness of language categories and forms, and input enhancement techniques have been proposed to make target language features more salient for the learner. We present an NLP architecture and webbased implementation providing automatic visual input enhancement for web pages. Learners freely choose t...

language learning strategies and vocabulary size of iranian efl learners

learning a second or foreign language requires the manipulation of four main skills, namely, listening, reading, speaking, and writing which lead to effective communication. it is obvious that vocabulary is an indispensible part of any communication, so without a vocabulary, no meaningful communication can take place and meaningful communication relies heavily on vocabulary. one fundamental fac...

Investment in L2 learning among Iranian English language learners

Drawing on Norton Peirce's (1995) theory of investment and Darvin and Norton's (2015) expanded the model of investment, the present study aims to research investment in second language (L2) learning among Iranian English language learners. The participants included 852 male and female English language learners belonging to different age groups and English language proficiency levels. A ...