Corrective feedback has received significant attention in English language teaching, and its role has been highly substantial. Considering the importance of corrective feedback in EFL classes, this study aimed at finding the effects of indirect and gradual CF on Iranian EFL learners' grammatical development and their beliefs toward CF. Twenty EFL learners, meeting the c...

The exploration and analysis of literary corpora is a difficult task. Previous approaches to this problem focused on mining data directly from text. However, these solutions do not aid researchers who are interested in learning spoken features of the text, which play an important role in poetic works. VerseVis is a text visualization tool that gives users the ability to identify interesting tex...

This paper introduces a method for learning bilingual term and sentence level alignments for the purpose of building bilingual lexicons. Combining statistical techniques with linguistic knowledge, a general algorithm is developed for learning term and sentence alignments from large bilingual corpora with high accuracy. This is achieved through the use of ltered linguistic feedback between term ...

Previous work on statistical language generation has primarily focused on grammaticality and naturalness, scoring generation possibilities according to a language model or user feedback. More recent work has investigated data-driven techniques for controlling linguistic style without overgeneration, by reproducing variation dimensions extracted from corpora. Another line of work has produced ha...

Corpora have been regarded as useful sources for English language teaching. As various studies are devoted to the use of corpus in teaching grammar and vocabulary, more research is needed ascertain how learners could benefit from corpus-based data improving their writing skills, reflective efficiency, particular. In present study, conducted at one leading international universities Uzbekistan, ...