The purpose of this study was to investigate the effect of textual enhancement types on English as Foreign Language ( EFL ) learn er s ’ grammatical awareness of simple and complex structures. A nu m- ber of 104 learners from Ayandegan Institute, in Tehran, participated in this study. To homogenize the samples, the researchers administered a placement Michigan Test of English language to the p...

The input enhancement hypothesis proposed by Sharwood Smith (1991, 1993) has stimulated considerable research over the last 15 years. This article reviews the research on textual enhancement of input (TE), an area where the majority of input enhancement studies have aggregated. Methodological idiosyncrasies are the norm of this body of research. Seven major issues appear to be limiting the gene...

This experimental study evaluated the possible effects of textual input- based enhancement on the acquisition of passive form on Iranian pre-intermediate EFL learners. Sixty Iranian EFL learners at the pre-intermediate level of proficiency were randomly assigned into three groups; two experimental group and one comparison group. The first experimental group received passages in which the passiv...

This study set out to explore whether different input enhancement tasks as implicit instruction techniques had any significant impact on the intake of causative verbs in English as a foreign language among Iranian EFL learners. For this purpose, three intact classes consisting of 75 male and female intermediate L2 learners were randomly divided into three conditions: simultaneous grammar consci...

Abstract To probe the limits of attention raising through form-focused instruction, second-language research must adapt to needs a technologically driven learning environment. In this study, we used randomized control design investigate effect captioned media on vocabulary and grammar in L2 Spanish ( n = 369 learners). Through four data-collection sessions, participants were presented with gram...

This paper introduces a new method to improve tree edit distance approach to textual entailment recognition, using particle swarm optimization. Currently, one of the main constraints of recognizing textual entailment using tree edit distance is to tune the cost of edit operations, which is a difficult and challenging task in dealing with the entailment problem and datasets. We tried to estimate...