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Information
| Code | CEN471 |
| Name | Natural Language Processing |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. UMUT ORHAN |
Course Goal
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 | Bilgi - Kuramsal, Olgusal | Has capability in the fields of mathematics, science and computer that form the foundations of engineering | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. | 4 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and to conduct experiments, to collect data, to analyze and to interpret results | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Can access information,gains the ability to do resource research and uses information resources | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability | 4 |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language | 3 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Professional and ethical responsibility, | 3 |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, | 2 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to NLP concept and terms | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 2 | Normalization, Tokenizing, Lemmatization, Parsing | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 3 | Syntax, N-Gram analysis | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 4 | Corpus preparing | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 5 | Part of Speech Tagging, Treebank | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 6 | Semantic analysis (probabilistic methods) | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 7 | Morphological and Word Sense Disambiguation | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 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 |
| 10 | Graph based networks: WordNet, Graph based similarity | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 11 | Dialogue Systems, Question Answering | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 12 | Machine Translation | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 13 | Keyword Extraction, Document Summarization | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 14 | Paraphrasing | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
| 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 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||