If word strings violate grammatical rules, they elicit neurophysiological brain responses commonly attributed to a specifically human language processor or grammar module. However, an ungrammatical string of words is always also a very rare sequence of events and it is, therefore, not always evident whether specifically linguistic processes are at work when neurophysiological grammar indexes ar...

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We used a non-linguistic gender attribution task to determine how French and Spanish grammatical gender affects bilinguals’ conceptual gender. French-English and Spanish-English bilingual, as well as English monolingual adults were asked to assign a male or female voice to 32 color drawings depicting people, animals, and common objects. FrenchEnglish and Spanish-English bilinguals classified it...

This study explored the effect of input vs. collaborative output tasks on Iranian EFL learners’ grammatical accuracy and their willingness to communicate (WTC). In so doing, the study utilized 3 input (i.e., textual enhancement, processing instruction, and discourse) and 3 collaborative output (i.e., dictogloss, reconstruction cloze task, and jigsaw) tasks and compared their effects on 5 Englis...

This study aimed to investigate how Iranian EFL learners performed in producing sentences containing idioms and whether they had any problems in producing such sentences. This query, subsequently, raised the question of whether idioms influenced the participants’ grammaticality judgment on idiom-containing sentences. For this purpose, firstly, the writings of 24 learners were investigated for a...

Detection and correction of Chinese grammatical errors have been two of major challenges for Chinese automatic grammatical error diagnosis. This paper presents an N-gram model for automatic detection and correction of Chinese grammatical errors in NLPTEA 2017 task. The experiment results show that the proposed method is good at correction of Chinese grammatical errors.