Slides

T1: about the course + NLP voyage (class soundtrack: here)
T2: corpora
T3: evaluation
T4: regular expressions + pre-processing + n-grams 
T5: language as vectors and classic MT
T6: deep learning
T7: morphology
T8: dense vectors
T9: syntax <-- different from the one presented at Taguspark
T10: semantics
T11: trends 1
T12: trends 2
T12: machine translation + sign languages

Labs
P0/Lab0: pack Optional (introduction to python and introduction to Feedforward Neural Networks)
P1/Lab1: pack
P2/Lab2: pack
P3/Lab3: pack
P4/Lab4: pack
P5/Lab5: pack
P6/Lab6: MAP1
P7/Lab7: pack
P8/Lab8: pack <-- corrected version (there was an error (t-test) in the Thursday labs -- ask your professors, please) 
P9/Lab9: pack
P10/Lab10: pack
P11/Lab11: pack
P12/Lab12: pack

Sebenta
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 Template: here
Map2 Template: here