Cross-linguistic transfer embodies language learners’ use of linguistic knowledge of their first language to leverage the learning of a second language. The cross-linguisitc transfer between Chinese and English has been studied by scholars from different disciplines. However, variances and inconsistencies exist among prior studies regarding the investigated linguistic domains and reported resul...

Usually writing teachers feel commitment to provide their learners with corrective feedback (CF) to their linguistic errors. The study investigated whether two types of written corrective feedback, indirect focused corrective feedback and indirect unfocused corrective feedback, produced differential effects on the accurate use of grammatical forms by high intermediate EFL learners. In this stud...

It has been shown that restrictions on feedback in communicative tasks have an important impact on how speakers ground their communicative acts and the effectiveness of their communication. Generally speaking, the more interlocutors are allowed to interact, the quicker they solve communicative tasks, and the quicker they converge at a linguistic level on referring expressions for objects under ...

This paper presents new approaches to modelling both linguistic and non-linguistic feedback during instruction giving in a virtual domain. Our approach enables finegrained investigation of how language and actions are conditioned by task-level and domain-level features of dialogue. In a preliminary study, we examine the interaction between pauses in linguistic and non-linguistic activity. As fa...

This paper addresses the issue of how linguistic feedback expressions, prosody and head gestures, i.e. head movements and face expressions, relate to one another in a collection of eight video-recorded Danish map-task dialogues. The study shows that in these data, prosodic features and head gestures significantly improve automatic classification of dialogue act labels for linguistic expressions...

Recent work on Authorship Attribution (AA) proposes the use of meta characteristics to train author models. The meta characteristics are orthogonal sets of similarity relations between the features from the different candidate authors. In that approach, the features are grouped and processed separately according to the type of information they encode, the so called linguistic modalities. For in...