Lectures |
Lecture 1: Language Diversity (+Course Organization) |
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Lecture 2: Neural Language Modeling & Tokenization |
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Lecture 3: Training Deep NNs |
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Lecture 4: Transformer |
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Lecture 5: Cross-Lingual Word Embeddings |
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Lecture 6: Cross-Lingual Transfer |
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Lecture 7: Curse of Multilinguality |
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Lecture 8: Word Alignment and Label Projection |
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Lecture 8 (Word alignment): Recording |
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Lecture 9: Text Generation (with NMT focus) |
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Lecture 10: (Multilingual) Sentence Encoders |
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Exercises |
Exercise 01 |
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Exercise 02 |
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Exercise 03 |
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Exercise 04 |
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Projects |
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Exercise 05 - Parameter-Efficient Fine-Tuning - Solutions |
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Exercise 06 - Token-level Transfer - Solutions |
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Exercise 07 - Neural Machine Translation - Solutions |
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Exercise 08 - Sentence Representation Learning - Solutions |
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Exams |
Exam Results (Klausur, 20.7.2023) |
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