Exam: Thu 22 Oct 2026 · Lecture notes: 7 · Flashcards: 655 · Exam questions: 55

Schedule, assessment and deadlines live in the course overview.

Flashcards

655 short single-fact cards across 7 sets. Open the flashcards to study the whole course, one lecture, or any mix of lectures. Each lecture note also ends with its own set.

Exam questions: 55 long-form exam-style questions with key points and model answers, for written practice.

Lecture notes

  • L01 Overview · 45 cards
    What NLP is and what it models, NLP tasks (QA, NER, summarization, sentiment analysis, machine translation), NLP before and after deep learning, The role of large language models, …
  • L02 Multilinguality and Writing Systems · 90 cards
    English-centric NLP and the resource tiers, Typological diversity across languages, Morphology, from English to Russian to Finnish, The four English-first assumptions, …
  • L03 Morphology and Word Formation · 92 cards
    Words, vocabularies and lexicons, Word embeddings and CBOW, Vocabulary short-lists and the token, Word segmentation and word boundaries, …
  • L04 Subword Segmentation · 95 cards
    The vocabulary bottleneck, Out-of-vocabulary items, Rule-based morphological analyzers (FSTs), Morfessor and Minimum Description Length, …
  • L05 Static Embeddings · 119 cards
    Distributional semantics and count-based context vectors, Cosine similarity, Word2Vec CBOW, Word2Vec Skip-gram, …
  • L06 Contextual Embeddings · 102 cards
    Static versus contextual word representations, Pre-training and fine-tuning workflow, Encoder-decoder, encoder-only and decoder-only architectures, BERT masked language modelling and next sentence prediction, …
  • L07 Crosslingual NLP · 112 cards
    From multilingual to crosslingual models, Zero-shot crosslingual knowledge transfer, Parallel and comparable data, Parallel corpus acquisition (OPUS, document and sentence alignment), …

Other notes

Exam Prep

6 items under this folder.