| Course Name: | Natural Language Processing |
| Course Code: | CENG 539 |
| Type of Course: | Undefined |
| Level of Course: | Graduate (Second Cycle) |
| Year of Study: | 1 |
| Semester/Trimester: | Fall |
| ECTS Credits: | 7,5 |
| FU Credits: | 3 |
| Name(s) of Lecturer(s): | Zeynep ORHAN EA303 ( zorhan@fatih.edu.tr ) |
| Course Coordinator: | Zeynep ORHAN |
| Objectives of the Course: | This course aims to provide a brief introduction to the central issues of Natural Language Processing (NLP), to introduce various practical skills associated with the design and implementation of NLP systems |
| Course Description: | This course aims to provide a brief introduction to the central issues of Natural Language Processing (NLP), to introduce various practical skills associated with the design and implementation of NLP systems, the linguistic foundations that underlie NLP, introduce to the algorithms used in the field to enable the computer to interpret and produce natural languages, i.e. English, Turkish, etc. The focus is on modern quantitative techniques in NLP and also, analysis and construction of representative systems. |
| Learning Outcomes: | 1. Understanding the fundamentals of NLP
2. Learning the typical phases of NLP: Syntax, Semantics,Pragmatics, etc.
3. Developping or improving NLP Systems |
| Mode of Delivery: | Face-to-Face |
| Prerequisites: | None |
| Co-requisites: | None |
Course Contents:
( Weekly Lecture Plan ) | | Week | Topics | | 1 | Introduction: NLP | | 2 | Introduction: Concepts from Linguistics | | 3 | Introduction: History of NLP and Applications | | 4 | Syntax | | 5 | Syntax | | 6 | Syntax | | 7 | Semantics | | 8 | Semantics | | 9 | Pragmatics | | 10 | Natural Language Generation | | 11 | Applications and projects | | 12 | Applications and projects | | 13 | Workshop | | 14 | Workshop |
|
| Recommended Reading: | No special textbook but reading materials: 1. Daniel Jurafsky and James H. Martin. Speech and Language Processing. Prentice Hall,2000 2. Christopher Manning and Hinrich Sch¨utze. Foundations of Statistical Natural Language Processing. The MIT Press, 1999 3. James Allen. Natural Language Understanding (2nd edition). The Benjamin/Cummings Publishing Company, 1995. |
| Planned Learning Activities and Teaching Methods: | Lectures, Presentation, Seminar, Project, Assignments |
| Assessment Methods: |
| Method | Quantity |
(%) | | Homework | 1 | 10 | | Project | 1 | 20 | | Midterm Exam(s) | 1 | 20 | | Presentation | 1 | 10 | | Term Paper | 1 | 10 | | Final Exam | 1 | 30 | | | | Other: Class performance as bonus(5%) |
| Language of Instruction: | English |
| Work Placement(s): | N/A |
syllabus
