| Moon's day | Woden' s day | Frigga's day |
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Aug 25 |
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General introduction
Slides |
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Aug 27 |
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Finishing general introduction |
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Sept 1 |
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Regular expressions
Slides |
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Sept 3 |
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Regular expression exercise |
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Sept 8 |
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Language models. Probability and statistics background |
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Sept 10 |
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Statistics about language, N-grams |
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Sept 13 |
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Introduction to language models
Slides |
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Sept 17 |
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Interpolation among language models
Slides |
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Sept 20 |
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Finishing language models; spelling correction |
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Sept 24 |
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Information theory Introduction to information theory
Slides |
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Sept 27 |
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Language entropy; compression |
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Oct 4 |
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HMMs and POS tagging. Lexical categories
Slides |
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Oct 6 |
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Hidden Markov models |
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Oct 8 |
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The forward-backward algorithm
Slides |
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Oct 11 |
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The Viterbi algorithm and the Baum-Welch algorithm |
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Oct 22 |
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Parsing. Introduction to syntax
Slides |
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Oct 25 |
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Recursive descent parsing |
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Oct 29 |
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Semantics. Lexical semantics |
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Nov 3 |
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Machine learning background. Word embeddings |
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Nov 8 |
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Neural nets and RNNs |
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Nov 10 |
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Machine translation. Introduction |
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Nov 12 |
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Encoder-decoder model |
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Nov 15 |
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More machine translation techniques |
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Nov 17 |
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Ethics in machine translation |
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Nov 19 |
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Stylometry. Introduction |
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Nov 29 |
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Authorship attribution |
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Dec 1 |
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Sentiment classification. Naive Bayes classifiers |
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Dec 8 |
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Text generation. Survey |
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