Language Technology
Teaching Staff: Kermanidis Katia - Lida
Course Code: HY-690
Course Type: Humanities and Social Sciences
Course Level: Undergraduate
Course Language: Greek
Semester: 7th
ECTS: 5
Teaching Units: 4
Lecture Hours: 2
Lab/Tutorial Hours: 2L
Total Hours: 4
E Class Page: https://e-class.ionio.gr/courses/DCS153/
Short Description:
Computational Linguistics and Natural Language Processing. The features and properties of natural language. Morphological Processing. Regular Expressions. Finite State Automata and Finite State Transducers. Syntax. Grammar Development. Grammar Formalisms. The Chomsky Hierarchy. Parsing. Semantic Processing. Logical Form. Selectional restrictions. Semantic networks and Ontologies. Pragmatic Processing. Discourse Analysis. Anaphora Resolution. Part-of-speech tagging. Stochastic parsing. Grammar Induction. Word Sense Disambiguation. Natural Language Generation. Machine Translation. Information Extraction. The NLTK Natural Language Toolkit. Applications of Machine Learning in Language Technology.
Suggested Bibliography:
- “Η μηχανική μετάφραση και η ελληνική γλώσσα”, Σταύρου Μ., Τζεβελέκου Μ., Ινστιτούτο Επεξεργασίας του Λόγου, Εκδόσεις Καστανιώτη, ISBN 960-03-2718-1, 2001
- “Επίπεδα γλωσσικής ανάλυσης”, Παυλίδου Θ. Σ., Εκδόσεις ΙΝΣΤΙΤΟΥΤΟ ΝΕΟΕΛΛΗΝΙΚΩΝ ΣΠΟΥΔΩΝ, ISBN 978-960-231-132-5, 2008
- “Speech and Language Processing”, Jurafsky D., Martin J., Pearson Prentice Hall, ISBN 978-0131873216, 2008
- “Statistical Natural Language Processing”, Manning C., Schuetze H., MIT Press, ISBN 978-0262133609, 1999
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Studies
Secretery Building (Building 3)
7 Tsirigoni Square
Corfu, 49100
tel:26610 87760 / 87761 / 87763
e-mail: cs@ionio.gr
e-mail: cs@ionio.gr
