Undergraduate Course: Foundations of Natural Language Processing (INFR09028)
Course Outline
| School |
School of Informatics |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 09 (Year 3 Undergraduate) |
Credits |
10 |
| Home subject area |
Informatics |
Other subject area |
None |
| Course website |
http://www.inf.ed.ac.uk/teaching/courses/fnlp |
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| Course description |
This course covers some of the linguistic and algorithmic foundations of natural language processing. It builds on the material introduced in Informatics 2A and aims to equip students for more advanced NLP courses in years 3 or 4. The course is strongly empirical, using corpus data to illustrate both core linguistic concepts and algorithms, including language modeling, part of speech tagging, syntactic processing, the syntax-semantics interface, and aspects of semantic processing. Linguistic and algorithmic content will be interleaved throughout the course. |
Course Delivery Information
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| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
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WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | 10:00 - 10:50 | | | | | Central | Lecture | | 1-11 | | | | | 10:00 - 10:50 |
| First Class |
Week 1, Tuesday, 10:00 - 10:50, Zone: Central. Seminar Room 5, Chrystal Macmillan Building |
Summary of Intended Learning Outcomes
1 - Given an appropriate NLP problem, students should be able to select a corpus and an annotation scheme for the problem and justify the choice over other candidates.
2 - Students should also be able to identify suitable evaluation measures for the problem and provide a written explanation of the role of annotated corpora in natural language processing.
3 - Given one of the main linguistic issues relevant to NLP (including the representation and induction of syntactic knowledge, and the modelling of lexical and semantic information, and the syntax-semantics interface), students should be able to construct an example of the issue and provide an explanation of how their example illustrates the issue in general.
4 - Given an example of one of the main linguistic issues identified above, students should be able to classify it as belonging to that issue and relate the example to the issue in general.
5 - Given an NLP problem, students should be able to analyse, assess and justify which algorithms are most appropriate for solving the problem, based on an understanding of fundamental algorithms such as Viterbi algorithm, inside-outside, chart-based parsing and generation. |
Assessment Information
Written Examination 70
Assessed Assignments 30
Oral Presentations 0
Assessment
Two assignments involving both programming and short essays.
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Marcelo Cintra
Tel: (0131 6)50 5118
Email: mc@inf.ed.ac.uk |
Course secretary |
Miss Tamise Totterdell
Tel: 0131 650 9970
Email: t.totterdell@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:10 am
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