Information Package / Course Catalogue
Symbolic Natural Language Processing
Course Code: CSE426
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The aim of this course is to ensure students grasp basic ideas and foundations of the field of natural language processing(NLP) and to equip them with the knowledge of ongoing research in the field of NLP.

Course Content

This course covers the fundamental concepts and ideas in the field of natural language processing, including the latest research information. In the course, the statistical and rule-based methods that are widely used in natural language processing applications will be investigated in detail.

Name of Lecturer(s)
Learning Outcomes
1.Gaining the understanding of natural language analysis techniques with the use of rule-based approaches and statistical methods.
2.Gaining the ability to understand Language Models.
3.Gaining the understanding of syntactic and semantic techniques of natural language processing.
4.Grasping machine-translation techniques.
5.Grasping discourse analysis methods.
Recommended or Required Reading
1.1. Jurafsky, D. and Martin, J. H. Speech and Language Processing. Prentice Hall: 2000. ISBN: 0130950696
Weekly Detailed Course Contents
Week 1 - Theoretical
General information about topics and problems of natural language processing field.
Week 2 - Theoretical
Language Models
Week 3 - Theoretical
Regular Expressions
Week 4 - Theoretical
Phonetics and Phonology
Week 5 - Theoretical
Morphology
Week 6 - Theoretical
Morphological Analysis
Week 7 - Theoretical
Syntax
Week 8 - Theoretical
Syntax
Week 9 - Theoretical
Syntactic Analysis
Week 10 - Theoretical
Semantics
Week 11 - Theoretical
Semantic Analysis
Week 12 - Theoretical
Discourse Analysis
Week 13 - Theoretical
Discourse Analysis
Week 14 - Theoretical
Machine Translation
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Assignment501052
Individual Work140235
Quiz5002
Midterm Examination1022
Final Examination1022
TOTAL WORKLOAD (hours)149
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
5
4
5
4
4
OÇ-2
5
4
OÇ-3
5
4
5
4
OÇ-4
5
5
4
4
OÇ-5
4
5
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026