| Code |
11535
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| Year |
1
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| Semester |
S2
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| ECTS Credits |
6
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| Workload |
PL(30H)/T(30H)
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| Scientific area |
Informatics
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|
Entry requirements |
Solid programming skills.
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|
Mode of delivery |
Face to face.
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Work placements |
Not aplicable.
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Learning outcomes |
Study of the main fundamental subjects from Human Language Technology, with a special focus on written language. Analysis of a number of theoretical principles and and practical techniques involved in human language processing.
At the end of the course the student should know the main themes of the Human Language Technology, especially in terms of written language. This includes the acquisition of theoretical knowledge of Natural Language Processing and its fundamental principles, at a morphological, syntactical, semantic, and pragmatic levels. The student should also gain mastery with several tools and technologies within those areas, which were being experienced through a number of exercises and assignments, implemented in laboratory.
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Syllabus |
Part I - Foundations
1. Classical Introduction
2. Empirical Introduction
Part II - Theories
3. Modeling Language
4. Polilexical Units
5. Segmentation into Topics
6. Lexical Chains
Part III - Applications
7. Information Retrieval
8. Information Extraction
9. Text Classification and Clustering
10.Automatic Summarization
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Main Bibliography |
Main Bibliography
====================
Jurafsky, D., Martin, J. (2008). “SPEECH and LANGUAGE PROCESSING: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition”, Second Edition. McGraw Hill. ISBN: 978-0131873216.
Secondary Bibliography
====================
Manning, D., Schütze, H. (1999). “Foundations of Statistical Natural Language Processing”. The MIT Press. ISBN: 978-0262133609.
Bird, S., Klein, E., Loper, E. (2009). “Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit”. O'Reilly Media. ISBN: 978-0596516499.
Reese, R. (2015). “Natural Language Processing with Java (Community Experience Distilled)”. Packt Publishing. ISBN: 978-1784391799.
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Language |
Portuguese. Tutorial support is available in English.
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