T2: Corpora

T3: Evaluation (similarity and evaluation metrics)

T4: PreProcAndN-grams and RE

T5: VectoresAndFeatureBasedML

T6: Deep Learning architectures

T7: Dense Vectors

T8: Morphology

T9: Syntax

T10: Semantics

T11: Trends - part 1

T12: Trends - part 2

T13: MT (general) + MT (LGP) 

T14: Recap

Labs:

Lab 0: Pack Optional (introduction to python and introduction to feedforward neural network). 
Lab 1: Pack
Lab 2: Pack

Lab 3: Pack

Lab 4: Pack

Lab 5: Pack

Lab 6: Maps

Lab 7: Project (bring your questions!)

Lab 8: Pack

Lab 9: Pack

Lab 10: Pack (also, check here)

Lab 11: Pack

Written mostly in 2014, therefore, well before ChatGPT and with many examples not translated yet into English (sorry). However, it still gives a good idea of various topics in some subjects: here (part 1) and here (part 2)

Map1: here

Map2: here