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From Error Annotation To Quantitative Analysis: Patterns In Russian Language Learning, Irina Kor Chahine, Ekaterina Uetova

Russian Language Journal

Although learner corpus research has been progressively growing into an independent branch of corpus linguistics, the learner corpus cannot yet fully benefit from corpus analysis methods. This is due to several technical obstacles involving data collection, error annotation, and finally, data processing. When it comes to data collection, compared to corpus linguistics, learner corpus is biased because some of the learner corpora are still collected manually: Optical character recognition (OCR) is not yet sophisticated enough to transform a student’s handwritten copy to a digitized text. This fact significantly slows the collection of learner corpora. Furthermore, typed students’ texts present another …