Linear models, DTW, Deep learning, Probabilistic programming, VGG, PCA
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An efficient web resource for measuring a foreign language proficiency level. Foreign language learners aim to find a simple for understanding and complex for skill sharpening tests covering all aspects of language.
To measure a person’s language proficiency level with a number, where the number is the highest item score the person is capable of answering correctly. This number should correlate with TOEFL or CEFR scores. The product should be deployed to a website capable of accepting large number of concurrent.
Development of a Maximum Likelihood Estimation (MLE) as an algorithm for computing the proficiency level, creation of mode estimation models for solving the online regression task.
A fast and reliable web service with clean and simple UI test which allows users to determine their language proficiency level within a few dozens of two-option questions. The results show a strong alignment between the test numbers and TOEFL scores.
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