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| TDE2036 | language technologies | 2+0+0 | ECTS:4 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of TURKISH LANGUAGE and LITERATURE | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Asiye Mevhibe COŞAR | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To inform about the reflection of developing and changing technological possibilities on language studies, to gain knowledge and competence in the use of language structure in computer studies |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | learn the relationships between grammar and linguistics and computer science. | 2,4 | 1, | | LO - 2 : | Recognise the theories, methods and technologies developed in various fields such as artificial intelligence, formal language theory, theoretical linguistics, computer-assisted linguistics and cognitive psychology. | 4,9 | 5, | | LO - 3 : | acquire the equipment that will contribute to educational activities by creating a language model in computer environment.
| 5,8 | 6, | | LO - 4 : | gain the knowledge to participate in and contribute to natural language processing studies. | 4 | 1, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Basic concepts of language and technology, the relationship between technology and language; artificial intelligence, natural language processing; experimental areas of grammar and linguistics; computer-aided linguistics, big data analysis, the use of language and literature materials in computerised studies and case studies. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction of course objectives, content and resources.
Determination of students' readiness about the concepts of language, technology, technique, science and knowledge and their relations with each other. | | | Week 2 | Basic concepts: the relationship between language, technology, technique; an overview of the positive and negative aspects of the relationship between language and technology in the light of current developments from the literature. | | | Week 3 | Training on the use of library databases and text creation with computer technologies [in the company of a guest lecturer] | | | Week 4 | Language technology and natural language processing. | | | Week 5 | Natural language processing (NPL), its brief history from 1600s to 2000s, how it is done, what are its challenges and application areas. | | | Week 6 | Application areas of Natural Language Processing: Machine Translation, Spell Checking, Speech Recognition, Text Summarization.
| | | Week 7 | Application areas of Natural Language Processing: Named Entity Recognation (NER), Question Answering, Text Classification and Categorization. | | | Week 8 | Natural language processing and Turkish; challenges and requirements in Turkish natural language processing. | | | Week 9 | MID TERM EXAM. | | | Week 10 | Artificial intelligence and the metaverse [accompanied by a guest trainer]. | | | Week 11 | New literacy and digital literacy. | | | Week 12 | Sample language technology applications: ALIS, a graphical symbol system developed as an alternative communication tool for Turkish and 3D Virtual Turkish Sign Language Interpreter (TİD3b) [accompanied by a guest trainer]. | | | Week 13 | Social Media and Document Analysis System, Turkish sentiment analysis study [accompanied by a guest trainer]. | | | Week 14 | Review of the content of the semester, evaluation of course outcomes. | | | Week 15 | EXAMINATION WEEK | | | Week 16 | EXAMINATION WEEK | | | |
| 1 | Adalı, E. Doğal Dil İşleme, Akçağ yay., Ankara 2020.
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| 1 | D. Mertkan Gezgin, E. Silahsızoğlu, "Bilişim Teknolojilerinin Kullanımının Türkçeye Etkileri", Turkish Online Journal of Qualitative Inquiry (TOJQI)
Volume 7, Issue 1, January 2016: / Cilt 7, Sayı 1, Ocak 2016: 28-46
| | | 2 | Alyılmaz,C. "Teknoloji ve Dil", https://dergipark.org.tr/tr/download/article-file/33210
| | | 3 | Tarcan, F. Çakar, "Bilgisayarlı Dil Tanımlamada Dilbilimsel Yaklaşımlar ve Bir Yazılım Denemesi", Elektronik Sosyal Bilimler Dergisi, Güz-2008, C.7, S.26, s.64-70.
| | | 4 | A. Uçan, E.A. Sezer, "Türkçe Bilgisayarlı Dil Bilimi Çalışmalarında His Analizi", TDAY Belleten, C.70, Aralık 2020, S. 193- 210.
| | | 5 | Y. Fırat, "Modellenmiş Kavram Latisleriyle Bilgisayarlı Anlam Çözümleme Çalışması: Modellenmiş Kavram Latisleriyle Bilgisayarlı Anlam Çözümleme Çalışması", GÜFBED/GUSTIJ, 2017, C. 7, S.1, s.10-24. | | | 6 | İlgili makaleler ve ders notları | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 16/04/2024 | 1 | 50 | | End-of-term exam | 14 | 04/06/2024 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 14 | 2 | 28 | | Sınıf dışı çalışma | 14 | 4 | 56 | | Arasınav için hazırlık | 2 | 5 | 10 | | Arasınav | 1 | 1 | 1 | | Dönem sonu sınavı için hazırlık | 2 | 5 | 10 | | Dönem sonu sınavı | 1 | 1 | 1 | | Diğer 1 | 7 | 2 | 14 | | Total work load | | | 120 |
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