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