Background. A primary question among L2 writing instructors is how to best deliver written corrective feedback (WCF) support student learning. One promising WCF method Dynamic Written Corrective Feedback, in which provide unfocused/comprehensive using a coding system coupled with regular rounds of editing on short, in-class student-written paragraphs.
 Purpose. In this study, I explored th...

    The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...

Lexical-Functional Grammar (Kaplan and Bresnan, 1982) f-structures are bilexical labelled dependency representations. We show that the Naive Bayes classifier is able to guess missing grammatical function labels (i.e. bilexical dependency labels) with reasonably high accuracy (82–91%). In the experiments we use f-structure parser output for English and German Europarl data, automatically “broken...

INTRODUCTION As the popular focus of instruction in language classrooms becomes increasingly meaning-oriented, teachers must nevertheless ensure that their students are also learning the correct form of the language they are studying. One of the ways to achieve this task is to provide negative feedback—correcting the student, either implicitly or explicitly. The most common type of negative fee...

Sentence processing in American Sign Language (ASL) was investigated as a function of age of first language acquisition with a timed grammatical judgement task. Participants were 30 adults who were born deaf and first exposed to an fully perceptible language between the ages of birth and 13 years. Stimuli were grammatical and ungrammatical examples of 6 ASL syntactic structures : simple, negati...