The correct use of collocations is one of the most difficult tasks that the student faces when learning a second language, such that one of the goals of Computer Assisted Language Learning (CALL) is to develop programs that aim to identify collocation errors in learners’ writings and propose corrections. However, while statistical models currently used by most of these programs still manage to ...

The appropriate use of collocations is a challenge for second language acquisition. However, high quality and easily accessible Chinese collocation resources are not available for both teachers and students. This paper presents the design and construction of a large scale resource of Chinese collocational knowledge, and a web-based application (OCCA, Online Chinese Collocation Assistant) which ...

Collocations play a significant role in second language acquisition. In order to be able to offer efficient support to learners, an NLP-based CALL environment for learning collocations should be based on a representative collocation error annotated learner corpus. However, so far, no theoretically-motivated collocation error tag set is available. Existing learner corpora tag collocation errors ...

This study investigated the relationship between teaching L2 semantic tasks (collocation vs. definition) in vocabulary achievement of Iranian intermediate EFL learners. To this end, 60 students at intermediate level studying in the Simin Institute were selected from a total number of 100 participants based on their performance on Oxford Placement Test. After ensuring the criterion of homogeneit...

Genuine lexical writing assistants that attempt to detect lexical errors such as miscollocations are traditionally less common in Computer Assisted Language Learning than spell and grammar checkers. However, there is empirical evidence of the importance of capturing and correcting miscollocations in the writings of language learners, and therefore an increasing number of proposals deals with th...

Collocation is a linguistic phenomenon that is difficult to define and harder to explain; it has been largely overlooked in the field of computational linguistics due to its difficulty. Although standard techniques exist for finding collocations, they tend to be rather noisy and suffer from sparse data problems. In this paper, we demonstrate that by utilising parsed input to concentrate on one ...

It is generally acknowledged that collocations in the sense of idiosyncratic word cooccurrences are a challenge in the context of second language learning. Advanced miscollocation correction is thus highly desirable. However, state-of-the-art “collocation checkers” are merely able to detect a possible miscollocation and then offer as correction suggestion a list of collocations of the given key...