
| Course Code | : MCS524 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
Introducing the fundamentals of statistical natural language processing ,neural approaches, concepts, and applications. Learning current transformer architectures. Enabling students to statistical natural language processing projects with Python.
The current technical approaches for linguistic problems, parsing, sentence meaning, word senses, semantic role labeling, coreference resolution, machine translation, chatbots.
| 1. | Understanding how core natural language processing tasks can be applied with statistical and neural approaches. |
| 2. | Understanding how core natural language processing tasks can be applied with statistical and neural approaches. |
| 3. | Understanding how core natural language processing tasks can be applied with statistical and neural approaches. |
| 4. | Developing natural language processing projects for various tasks |
| 5. | Developing natural language processing projects for various tasks |
| 1. | Dan Jurafsky and James H. Martin, “Speech and Language Processing”, 3rd Ed., Prentice Hall, 2023. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 1 | %5 |
| Presentation | 1 | %5 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 3 | 3 | 84 |
| Presentation | 1 | 5 | 1 | 6 |
| Individual Work | 14 | 0 | 1 | 14 |
| Midterm Examination | 1 | 20 | 2 | 22 |
| Final Examination | 1 | 20 | 3 | 23 |
| TOTAL WORKLOAD (hours) | 149 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | |
OÇ-1 | 3 | 3 | 3 | 3 | 4 | 3 | 4 | 3 | 3 |
OÇ-2 | 4 | 4 | 4 | 3 | 5 | 4 | 3 | 4 | 3 |
OÇ-3 | 3 | 3 | 5 | 5 | 5 | 4 | 3 | 5 | 5 |
OÇ-4 | 5 | 4 | 5 | 4 | 4 | 4 | 5 | 5 | 4 |
OÇ-5 | 3 | 3 | 3 | 3 | 4 | 3 | 4 | 3 | 3 |