research on pre-task planning has revealed that planned conditions have produced more fluent and complex language than unplanned conditions. to date, most of these studies have investigated the effects of individual planning on language production while collaborative planning has received scant attention. to determine the effects of pre-task planning on second language written production, the p...

This study investigated the effectiveness of individual and collaborative outputbasedfocus-on-form instructional tasks on the acquisition of English inversionstructures by EFL learners. Moreover, it explored the developmental trend oflearners’ inversion acquisition. To this end, 60 homogeneous EFL learners wereassigned to individual and collaborative output groups. They were exposed to textsenc...

  One of the most problematic areas in foreign language learning is collocation. It is often seen as arbitrary and an overwhelming obstacle to the achievement of nativelike fluency. Current second language (L2) instruction research has encouraged the use of collaborative output tasks in L2 classrooms. This study examined the effects of two types of output tasks (editing and cloze) on the learni...

the favorable gains gleaned from the provision of pre-task planning time (ptp) have struck a chord with sla researchers as they try to manipulate task features to promote language production and development. in a similar vein, the present study is a two-fold attempt to first compare the effect of the length of pre-task planning time on discourse-analytic measures in narrative written production...

Simultaneously solving multiple related learning tasks is beneficial under a variety of circumstances, but the prior knowledge necessary to correctly model task relationships is rarely available in practice. In this paper, we develop a novel kernel-based multi-task learning technique that automatically reveals structural inter-task relationships. Building over the framework of output kernel lea...

Facial landmark detection is an important step for many perception tasks. In this paper, we address facial landmark detection as a structured output regression problem, where we exploit the strong dependencies that lie between the facial landmarks. For this, we propose a generic multi-task regression framework for structured output problems. The learning of the output structure is achieved thro...

Many problems in information extraction, text mining, natural language processing and other fields exhibit the same property: multiple prediction tasks are related in the sense that their outputs (labels) satisfy certain constraints. In this paper, we propose an active learning framework exploiting such relations among tasks. Intuitively, with task outputs coupled by constraints, active learnin...