PD:Lingüística Computacional

Teaching plan for the course unit

(Short version)

Català

Castellano

English

General information

Course unit name: Computational Linguistics

Course unit code: 361749

Academic year: 2024-2025

Coordinator: Itziar Aduriz Agirre

Department: Department of Catalan Philology and General Linguistics

Credits: 6

Single program: S

Estimated learning time

Total number of hours 150

Face-to-face and/or online activities

- Lecture with practical component

Face-to-face

Supervised project

Independent learning

Learning objectives

Referring to knowledge

— Analyse the morphological, syntactic, lexical and semantic problems presented by natural language processing (NLP).

— Know the different applications of computational linguistics.

— See how linguistic information is structured in the different modules of these applications.

— Be familiar with the most common techniques and methods of morphological, syntactic and semantic analyses.

Referring to abilities, skills

— Acquire skills in the use of computer tools and resources for automatic language analysis and linguistic formalization, critical elements for making any theoretical proposals and for descriptive and/or computational analyses.

Teaching blocks

1. What do we mean by natural language processing (NLP)? What are its goals?

1.1. Research areas

1.2. Standard modules in NLP systems

1.3. Linguistic resources

1.4. The ambiguity of language: the great challenge of NLP

2. Techniques, methods and resources of automatic language analysis

2.1. Empirical methods and knowledge-based methods

2.2. Techniques, processes and resources of morphological analysis

2.3. Techniques, processes and resources of syntactic analysis

2.4. Techniques, processes and resources of semantic analysis

3. NLP applications

3.1. Automatic translation

3.2. Information extraction: document classification and automatic summarization

3.3. Information retrieval and question answering

3.4. Sentiment analysis and opinion mining

3.5. Speech technologies

Official assessment of learning outcomes

Continuous assessment

The default assessment method is continuous assessment made up of the following elements:
— A practical exam (30%) to take place at the beginning of December.
— A theoretical exam (50%) to take place on the date scheduled for this purpose in the Faculty’s exam calendar.
— A practical assignment (20%) to be submitted in mid-November.

To pass the course, students must have taken the two exams, completed the assignment and obtained at least 40% on each element.

Examination-based assessment

Students wishing to opt out of continuous assessment may request to be evaluated by means of single assessment, provided they do so in accordance with the terms and conditions established for this purpose by the Faculty.

Single assessment consists of a theoretical exam (60%) and a practical exam (40%).

Repeat assessment

In the re-evaluation test, which will take place on the date assigned by the Faculty, students who have opted for continuous assessment will have the opportunity to retake, at the teacher’s discretion, the exams, tests, or other assessment activities that they have not passed in the previous sitting.