2020
1. Introduction /
2. Regular Expressions, Text Normalization, Edit Distance
3. N-gram Language Models
4. Naive Bayes and Sentiment Classification
5. Logistic Regression
6. Vector Semantics and Embeddings
7. Neural Networks and Neural Language Models
8. Sequence Labeling for Parts of Speech and Named Entities
9. Deep Learning Architectures for Sequence Processing
10 . Contextual Embeddings
1. Introduction
La derniere chose qu’on trouve en faisant un ouvrage est de savoir celle qu’il faut mettre la premiere.
[The last thing you figure out in writing a book is what to put first.]
La = the
dernière = last (feminine)
chose = thing
qu’on = that one (or we)
trouve = finds
en faisant = while doing / by doing
un = a
ouvrage = work (in this context: a book or written work)
est = is
de savoir = to know
celle = the one (feminine)
qu’il faut = that must be / that should be
mettre = put
la première = first (feminine)
2. Regular Expressions, Text Normalization, Edit Distance
3. N-gram Language Models
4. Naive Bayes and Sentiment Classification
5. Logistic Regression
6. Vector Semantics and Embeddings
7. Neural Networks and Neural Language Models
8. Sequence Labeling for Parts of Speech and Named Entities
9. Deep Learning Architectures for Sequence Processing
10 . Contextual Embeddings