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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| COMPUTER ENGINEERING (MASTER) (WITHOUT THESIS) | |
| Code | CENGT007 |
| Name | Natural Language Processing |
| Term | 2022-2023 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
Learning the methods and approaches used in Natural Language Processing
Course Content
Processing natural languages in computer
Course Precondition
none
Resources
Daniel Jurafsky and James H. Martin, Speech and language processing an introduction to natural language processing, computational linguistics, and speech, 2000.
Notes
papers
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Knows terms of Natural Language Processing |
| LO02 | Knows what N-gram analysis is and how it is done |
| LO03 | Knows semantical analsis, use it in disambiguation and similarity measurement |
| LO04 | Knows what WordNet is and how it is defined |
| LO05 | Knows to prepare and to comment a corpus |
| LO06 | Comments about summarization, question answering and machine translation systems |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Belirsiz |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to NLP concept and terms | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Normalization, Tokenizing, Lemmatization, Parsing | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Syntax, N-Gram analysis | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Corpus preparing | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 5 | Part of Speech Tagging, Treebank | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 6 | Semantic analysis (probabilistic methods) | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 7 | Morphological and Word Sense Disambiguation | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 8 | Mid-Term Exam | Study to lecture notes and apllications | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Word and Sentence similarities | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 10 | Graph based networks: WordNet, Graph based similarity | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 11 | Dialogue Systems, Question Answering | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 12 | Machine Translation | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 13 | Keyword Extraction, Document Summarization | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 14 | Paraphrasing | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 15 | Final Review | Reading related chapter in lecture notes | Öğretim Yöntemleri: Soru-Cevap |
| 16 | Term Exams | Study to lecture notes and apllications | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Study to lecture notes and apllications | Ölçme Yöntemleri: Yazılı Sınav |