We present results from a range of experiments on article and preposition error correction for non-native speakers of English. We first compare a language model and errorspecific classifiers (all trained on large English corpora) with respect to their performance in error detection and correction. We then combine the language model and the classifiers in a meta-classification approach by combin...

unlike teacher beliefs, there has been a dearth of study regarding efl learner beliefs. the reason can be that horwitz (1987) and the existing literature has predominantly been in an esl context. the present study reports the development and validation of a scale to measure the learner beliefs about language learning in iranian efl contexts. using a combination of verbal creativity method, inte...

The present corpus-based study addressed the strategies applied in translating the cultural elements (CEs) of the Iranian ‘resistance’ literature into English. The corpus comprised Chess with the Doomsday Machine, Eternal Fragrance, and Fortune Told in Blood translated by Sprachman, Omidvar, and Ghanoonparvar, re- spectively. The Persian books and their English translations were analyzed on thr...

This paper describes a method of detecting grammatical and lexical errors made by Japanese learners of English and other techniques that improve the accuracy of error detection with a limited amount of training data. In this paper, we demonstrate to what extent the proposed methods hold promise by conducting experiments using our learner corpus, which contains information on learners’ errors.

The Process Corpus of English in Education (PROCEED) is a learner corpus which, addition to written texts, consists data that make the writing process visible form keystroke log files and screencast videos. It comes with rich metadata about each learner, among which indices exposure target language cognitive measures such as working memory or fluid intelligence. also includes an L1 component ma...

this paper investigates the use of ‘lexical bundles’ in two broad corpora of journalistic writing. the aim of this study is to compare the use of lexical bundles in the two domains, one consisted of newspaper articles written in english and published in england and the other one comprised of newspaper articles written in persian from iranian publications. for this purpose, the frequency of occu...

the present study aimed to investigate the generic organization of research article introductions in local iranian and international journals in english for specific purposes, english for general purposes, and discourse analysis. overall, 120 published articles were selected from the established journals representing the above subdisciplines. each subdiscipline was represented by 20 local and 2...

This paper addresses the automatic classification of the semantic relations expressed by the English genitives. A learning model is introduced based on the statistical analysis of the distribution of genitives’ semantic relations on a large corpus. The semantic and contextual features of the genitive’s noun phrase constituents play a key role in the identification of the semantic relation. The ...