Classification of English language learner writing errors using a parallel corpus with SVM

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Classification of English language learner writing errors using a parallel corpus with SVM

In order to overcome mistakes, learners need feedback to prompt reflection on their errors. This is a particularly important issue in education systems, as the system effectiveness in finding errors or mistakes could have an impact on learning. Finding errors is essential to providing appropriate guidance in order for learners to overcome their flaws. Traditionally the task of finding errors in...

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We describe the NUS Corpus of Learner English (NUCLE), a large, fully annotated corpus of learner English that is freely available for research purposes. The goal of the corpus is to provide a large data resource for the development and evaluation of grammatical error correction systems. Although NUCLE has been available for almost two years, there has been no reference paper that describes the...

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ژورنال

عنوان ژورنال: International Journal of Knowledge and Web Intelligence

سال: 2014

ISSN: 1755-8255,1755-8263

DOI: 10.1504/ijkwi.2014.065063