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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
NATURAL LANGUAGE PROCESSING BİL621 Program Course List-------- 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITDoctorate Of Science
YEAR OF STUDY-
SEMESTERProgram Course List--------
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)-
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Know natural language analysis techniques with rule based and statistical methods.
2. Understand uncertainty problem analysis in Natural Language Processing analysis and know elimination techniques.
3. Know existing research and application techniques by literature review.
4. Know syntactic and semantic Natural Language Processing methods.
5. Know importance and features of collections in Natural Language Processing
6. Understand Language models.
7. Understand Zipf rules and N-grams.
8. Know the methods of labeling word type and application area.
9. Know word parsing and derivation methods.
10. Know determination of phrases.


2) Understand uncertainty problem analysis in Natural Language Processing analysis and know elimination techniques.
3) Know existing research and application techniques by literature review.
4) Know syntactic and semantic Natural Language Processing methods.
5) Know importance and features of collections in Natural Language Processing
6) Understand Language models.
7) Understand Zipf rules and N-grams.
8) Know the methods of labeling word type and application area.
9) Know word parsing and derivation methods.
10) Know determination of phrases.
11) Know machine translation methods.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE CONTENTS
WEEKTOPICS
1st Week Parsing Algorithms;
2nd Week Parsing Algorithms;
3rd Week Morphological Analysis;
4th Week Morphological Analysis;
5th Week Morphological Analysis;
6th Week Morphological Ambiguity;
7th Week Morphological Ambiguity;
8th Week Mid-term
9th Week Applying Finite-State Methods for Language Processing Tasks;
10th Week Applying Finite-State Methods for Language Processing Tasks;
11th Week Applying Finite-State Methods for Language Processing Tasks;
12th Week Machine Translation and Information Retrieval
13th Week Machine Translation and Information Retrieval
14th Week Machine Translation and Information Retrieval
RECOMENDED OR REQUIRED READING1. Jurafsky, D. and Martin, J. H. "Speech and Language Processing", Prentice Hall, (2000)
2. Manning, C. D. and H. Schütze "Foundations of Statistical Natural Language Processing", The MIT Press, (1999)
3. Allen, J. "Natural Language Understanding", The Benjamins/Cummings Publishing Company Inc., (1994)
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Questions/Answers,Practice,Problem Solving,Project,Report Preparation,Presentation
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Assignment110
Project120
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

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