Course Objectives:
Describing and providing examples of some common language technology applications.
Accounting for some theoretical knowledge about language technology component technologies, such as analysis and synthesis, morphological processing, syntactic parsing and semantic interpretation.
Describing the roles of component technologies within language technology applications.
Describing the linguistic and computational linguistic problems that language technology has to handle, how they are based in the nature of human languages and human communication, how they influence design and application of language technology component technologies, and their consequences for the usefulness of language technology applications.

Course Outcomes:
Understand the basic principles of computational linguistics.
Have insights into speech and language processing.
Understand the usages of Intelligent Computer-Aided Language Learning (ICALL) systems.
Gain experience in text/speech segmentation (phonology: PRAAT, Transcriber) and parts of-speech tagging (morphology: Toolbox).
Understand how to use linguistic data bases (lexicography).
Do parsing and tree diagrams (syntax).
Use computer translation systems (semantics).

Course Contents:
Introduction and Overview.
The core areas of computational linguistics.
The common computational linguistics applications.
The elements of and levels of linguistic processing.
Introducing corpora as a source of linguistic analysis.
The concepts and methods of corpus linguistics.
Course description:
This course in research methodology focuses on the practical applications of basic research principles by writing a research proposal. The course includes the following topics:
• Basic principles of research
• Secondary research: Searching for background information in libraries and on the internet
• Secondary research: Reading previous researches and writing a literature review
• Academic writing: References and citations
• Primary research: Qualitative and quantitative methods
• Primary research: Basic principles of data collection
• Primary research: Data analysis and interpretation
• Finding a research topic
• The contents and structure of a research proposal
• Writing a research proposal

Examination: Research proposal 100%