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...

Grammatical Abstract UngrammaticalUngrammatical Concrete Grammatical Concrete Ungrammatical Abstract Concrete 0.00 0.25 0.50 0.75 1.00Concrete 0.00 0.25 0.50 0.75 1.00 En do rs em en tr at es Grammatical

From our three year experience of developing a large-scale corpus of annotated Arabic text, our paper will address the following: (a) review pertinent Arabic language issues as they relate to methodology choices, (b) explain our choice to use the Penn English Treebank style of guidelines, (requiring the Arabic-speaking annotators to deal with a new grammatical system) rather than doing the anno...

Systems of concepts such as colors, animals, cities, and artifacts are richly structured, and people discover the structure of these domains throughout a lifetime of experience. Discovering structure can be formalized as probabilistic inference about the organization of entities, and previous work has operationalized learning as selection amongst specific candidate hypotheses such as rings, tre...

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.