CEN471 Natural Language Processing

6 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Code CEN471
Name Natural Language Processing
Term 2022-2023 Academic Year
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 Instructor Prof. Dr. UMUT ORHAN (A Group) (Ins. in Charge)


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 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

Update Time: 22.11.2022 10:00