Master in Artificial Intelligence (MAI)

Introduction to Human Language Technology - 2026

Instructors

Jordi Turmo (coordinator), jordi.turmo@upc.edu
Lluís Padró (laboratories), lluis.padro@upc.edu

Sessions

	Date	Content	Lecturer
Week 1	September 17th	Introduction: HLT definition, drawbacks, applications	Jordi
Week 1	September 17th	Lab Session 1	Lluís
		Document Structure
Week 2	October 1st	Text selection, Tokenization, Sentence Splitting, Language Identification	Jordi
Week 2	October 1st	Lab Session 2	Lluís
		Words
Week 3	October 8th	Morphology, Finite States Automata	Jordi
Week 3	October 8th	Lab Session 3	Lluís
Week 4	October 15th	PoS Tagging, Hidden Markov Models	Jordi
Week 4	October 15th	Lab Session 4	Lluís
Week 5	October 22nd	Lexical Semantics, Semantic Resources	Jordi
Week 5	October 22nd	Lab Session 5	Lluís
Week 6	October 29th	Word Sense Disambiguation	Jordi
Week 6	October 29th	Lab Session 6	Lluís
		Word Sequences
Week 7	November 5th	Named Entity Recognition and Classification, Noun Phrase Recognition	Jordi
Week 7	November 5th	Lab Session 7	Lluís
		Sentences
Week 8	November 12nd	Syntactic Parsing, Grammars Exercises about CFGs	Jordi
Week 8	November 12nd	Project Tutoring	Lluís
Week 9	November 19th	Syntactic Parsing: Parsers Exercises about Syntactic Parsers	Jordi
Week 9	November 19th	Lab Session 8	Lluís
		Sentence Sequences
Week 10	November 26th	Coreference Resolution Exercises about Coreference Resolution	Jordi
Week 10	November 26th	Lab Session 9	Lluís
Week 11	December 3rd	Exercises	Jordi
Week 11	December 3rd	Exercises -No lab session-	Jordi
Week 12	December 10th	Exercises	Jordi
Week 12	December 10th	Project Presentations (Face-to-face)	Lluís
Week 13	December 17th	Project Presentations (Face-to-face)	Lluís
Week 13	December 17th	Project Presentations (Face-to-face)	Lluís

Important dates

Lab session 1 Delivery: September 23rd

Lab session 2 Delivery: October 8th

Lab session 3 Delivery: October 15th

Lab session 4 Delivery: October 22nd

Lab session 5 Delivery: October 29th

Lab session 6 Delivery: November 5th

Lab session 7 Delivery: November 12th

Lab session 8 Delivery: November 26th

Lab session 9 Delivery: December 3rd

Project Delivery: December 10th

Final exam: January 14th

Resources

Complementary Readings

Alexander Clark, Chris Fox, Shalom Lappin (eds.)
The Handbook of Computational Linguistics and Natural Language Processing
Blackwell Handbooks in Linguistics, John Wiley & Sons, 2012.
R. Dale, H. Moisl, H.Somers (eds.)
Handbook of Natural Language Processing
Marcel Dekker, New York, 2000.
Nitin Indurkhya, Fred J. Damerau
Handbook of Natural Language Processing, Second Edition
Chapman & Hall/CRC Machine Learning & Pattern Recognition, 2010.
D. Jurafsky, James H. Martin
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Prentice Hall, Upper Saddle River, N.J., 2017 (online version)
C. Manning, H. Schütze
Foundations of Statistical Natural Language Processing
MIT Press, Cambridge, Mass., 1999.
R. Mitkov (ed.)
The Oxford Handbook of Computational Linguistics
Oxford University Press, 2004.

Software

Language Processing

Utilities