Natural Language Processing and Deep Learning

This repository compiles the different activities that have been carried out during course at the IT University of Copenhagen in summer 2020: class notes, assignments and a final project.

Final project

I have written a paper regarding false friends as my final project:

Dangerous Liaisons: the Impact of Phonetics in False Friends Detection Among Romance Languages

Assignments

1. HMM Part-of-speech tagger
2. LSTM Part-of-speech tagger

Notes

A. Languages

0. Introduction
1. Languages
2. Tokens
3. Word representations
4. Formal definitions
5. WordNet
6. Parts of Speech
7. Language models
8. Markov models
9. Sequence modeling

B. Machine learning and deep learning

0. Introduction
1. Perceptrons
2. Multilayer neural networks
3. Gradient descent
4. LSTM
5. Word representations
6. Clustering

C. Advanced topics in NLP

1. Transformers
2. Social media
3. Entity recognition
4. Statistical Machine Learning
5. Conversational agents
6. Transfer learning

Exercises

1. Segmenting chinese text
2. POS tagger
3. Perceptron exercises
4. Naive Bayes