Digital technologies for grammatical error correction: deep learning methods & syntactic n-grams
Automated grammatical error detection as a field of linguistics. The variety of methods and techniques used in grammatical error detection along with their applications and evaluation. Abstract computational models and observation of their performance.
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To identify and analyze the most capable algorithms of machine translation in use today. To compare the results of translations made by online translators. To analyze typical stylistic, lexical and grammatical errors that appear in the translation.
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