the present study was conducted to evaluate data driven learning (ddl) combined with computer assisted language learning (call) as an approach to improving vocabulary knowledge of iranian postgraduates majoring in teaching english, english literature and translation. the purpose was to help language learners get familiar with ddl as a student-centered method taking advantage of a computer progr...

The present study was conducted to evaluate data driven learning (DDL) combined with Computer Assisted Language Learning (CALL) as an approach to improving vocabulary knowledge of Iranian postgraduates majoring in teaching English, English literature and translation. The purpose was to help language learners get familiar with DDL as a student-centered method taking advantage of a computer progr...

In spite of the highly beneficial applications of corpus linguistics in language pedagogy, it has not found its way into mainstream EFL. The major reasons seem to be the teachers’ lack of training and the unavailability of resources, especially computers in language classes. Phrasal verbs have been shown to be a problematic area of learning English as a foreign language due to their semantic op...

The present study was conducted to evaluate data driven learning (DDL) combined with Computer Assisted Language Learning (CALL) as an approach to improving vocabulary knowledge of Iranian postgraduates majoring in teaching English, English literature and translation. The purpose was to help language learners get familiar with DDL as a student-centered method taking advantage of a computer progr...

in spite of the highly beneficial applications of corpus linguistics in language pedagogy, it has not found its way into mainstream efl. the major reasons seem to be the teachers’ lack of training and the unavailability of resources, especially computers in language classes. phrasal verbs have been shown to be a problematic area of learning english as a foreign language due to their semantic op...

Computer corpora have many potential applications in teaching and learning languages, the most direct of which – when the learners explore a corpus themselves – has become known as data-driven learning (DDL). Despite considerable enthusiasm in the research community and interest in higher education, the approach has not made major inroads to mainstream language teaching. This paper explores som...

Data-driven learning (DDL) developed from corpus linguistics plays a pioneering role in the evolution of EFL teaching, allowing the learners to indentify and induce language rules by observing numerous real corpora concordances. With the guidance of new teaching notion advocated by College English Curriculum Requirements in China, DDL model has become the tendency for college English learners' ...

This paper discusses a data-driven learning (DDL) tool, which consists of a learner corpus for L2 learners of German. The learner corpus, in addition to submissions from ongoing current users, has been constructed from millions of submissions from a variety of activity types of approximately 5000 learners who used the E-Tutor CALL system over a period of five years. By following a cyclical proc...

In this paper, we address the problem of discriminative dictionary learning (DDL), where sparse linear representation and classification are combined in a probabilistic framework. As such, a single discriminative dictionary and linear binary classifiers are learned jointly. By encoding sparse representation and discriminative classification models in a MAP setting, we propose a general optimiza...