Language Technology

Academic year: 2006-2007 Course code module BLGERM01O33020 Semester: 2nd semester Credits: 4 Study load (hours) 112 Theory (hours): 30,00 Practice/Exercises(hours): Other (hours): Part-time program: 1/2 Instructor(s) Walter Daelemans Language of instruction: Dutch Semester exam information: Contract restriction information: 1. Prerequisites *Algemene competenties *Sequentiality 2. Objectives (expected learning outcomes) Insight into recent methods for the design of language processing modules, and in the possibilities, and limitations of existing applications of computational linguistics techniques. Ability to judge feasibility of new applications. 3. Course content In language technology, techniques and formalisms from computational linguistics are used in the development of systems with societal relevance or commercial importance. In this course a selection of these applications is discussed: machine translation and translation aids, dialogue systems and natural language interfaces to information systems (e.g. expert systems and databases), text mining systems (information extraction from documents, automatic summarization of texts, document classification), systems for editorial support, information retrieval, speech synthesis, computer-assisted language learning etc. The importance in language technology of the design of reusable software components using machine learning and statistical methods will be emphasized and illustrated in this course. 4. Teaching method Direct contact: Lectures Exercise sessions 5. Assessment method Written assignment: Without oral presentation 6. Compulsory reading – study material Course material will be provided via a web-site. 7. Recommended reading - study material SPEECH and LANGUAGE PROCESSING: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, By  Daniel Jurafsky and  James H. Martin, Prentice-Hall, 2000, ISBN: 0-13-095069-6 8. Tutoring laatste aanpassing: last update: 01/06/2006 01:01 ecampus