Subject:
Course: Selected Chapters from Natural Language Processing
ECTS credits: 5
Language: Croatian
Duration: 1 semester
Status: elective course
Method of teaching: 2 hours of lectures, 2 seminar hours weekly
Prerequisite: none
Assessment: seminar paper, practical work, written exam
Course description:
Automatic construction of any natural language resource requires a good understanding of the natural language properties as well as linguistic and statistical methods for natural language processing. Students in this course will acquire the linguistic and statistical concepts that are used in natural language processing and will master the methods of automatic construction of primary and secondary natural language resources for Croatian language. Students will also gain competence, knowledge and skills in applying methods of automatic natural language processing and will acquire knowledge on a variety of topics and systems that deal with different problems in processing Croatian language and other natural languages.
Course content and topics will vary from year to year dependent upon the constantly changing importance of natural language processing threads.
Course objectives:
Students will acquire knowledge on the development of systems (such as automatic text summarization) using variety of statistical and linguistic methods. They will also learn how different systems operate, such as sentiment analysis system and named entity recognition. Students will develop skills to design morphological lexicons of inflectional languages, web corpora, etc.
Quality check and success of the course:
The evaluation will be performed by the teacher and fellow students and will be carried out as a survey at the end of the semester.
Reading list:
Required:
Manning, C.D., Schutze, H. Foundation of Statistical Natural Language Processing. MIT press, 1999.
Jurafsky, D., Martin, J. H. Speech and Language Processing: An Introduction to Natural Language Processing. Prentice Hall, NJ, 2000.
Elective:
Mitkov, R. (ed). The Oxford Handbook of Computational Linguistics. Oxford University Press, 2003.
Damerau, F., Indurkhya, N. (eds). The Handbook of Natural Language Processing. 2nd edition. London: CRC PRESS-TAYLOR & FRANCIS GROUP, 2010.
The Future of Information Sciences (INFuture) is a series of biannual international conferences aimed at researchers and professionals from the broad field of information and communication sciences and related professions. The objective of the conference is to provide a platform for discussing both theoretical and practical issues in information organization and information integration.