Introduction to Natural Languages Processing (MAE845)
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General
| School |
School of Science |
|---|---|
| Academic Unit |
Department of Mathematics |
| Level of Studies |
Undergraduate |
| Course Code |
MAE845 |
| Semester |
8 |
| Course Title |
Introduction to Natural Language Processing |
| Independent Teaching Activities |
Lectures (Weekly Teaching Hours: 3, Credits: 6) |
| Course Type |
Special Background |
| Prerequisite Courses | - |
| Language of Instruction and Examinations |
Greek |
| Is the Course Offered to Erasmus Students |
Yes (in English) |
| Course Website (URL) | See eCourse, the Learning Management System maintained by the University of Ioannina. |
Learning Outcomes
| Learning outcomes |
The goal of this course is the deeper understanding of Natural Language Processing (NLP). During the course a detailed examination of the following topics are done:
After completing the course the student can handle:
which related to NLP different topics. |
|---|---|
| General Competences |
|
Syllabus
- A historical retrospection of Language Technology evolution
- The goal of NLP and its Applications
- The NLP levels. Language Processors such as recognition machines, transducers, parsers and generators
- The language as a rule based system. Language Understanding as process
- NLP Resources for parsing, such as Data Base, Knowledge Base, Data Structure, Algorithms and Expert Systems
- Fundamental parsing strategies concerning context free grammars.
- Fundamental Methods of Computational Morphology, Computational Semantics and NLP. Implementations-Applications
Teaching and Learning Methods - Evaluation
| Delivery |
Face to face | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Use of Information and Communications Technology |
Yes , Use of Natural Language and Mathematical Problems Processing Laboratory | ||||||||||
| Teaching Methods |
| ||||||||||
| Student Performance Evaluation |
Final test |
Attached Bibliography
See the official Eudoxus site or the local repository of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus:
- Mitkov Ruslan, The Oxford Handbook of Computational Linguistics. ISBN 0-19-823882
- Jurafsky Daniel & Martin H. James, Speech and Language Processing - An Introduction to Ntural Language Proocessing, Computational Linguistics and Speech Recognition. ISBN 0-13-095069-6
- Allen James, Natural Language Understanding. ISBN 0-8053-0334-0,
- Natural Language Generation ed. by Gerard Kempen. ISBN 90-247-3558-0
- Professor's Notes.