|Updated:||3 February, 2016|
This course covers a wide range of topics, which are a mixture of traditional linguistic subjects and cutting-edge technologies applied to studying them. The course gives a unique opportunity to investigate phonetics, grammar, semantics and lexis with quantitative methods; to put linguistic units into a wider perspective of modern science, combining linguistics with cognitive disciplines, artificial intelligence and technological computational advances. The course is designed as a comprehensive account of various developments and applications in Quantitative Linguistics. The classes combine theoretical part and laboratory computer work.
|Hours of lecture||Hours of discussion||Hours of independent study||Total numbers of hours|
Please note that the time spent on independent study exceeds hours of lecture and discussion.
The course will cover the following topics:
- Quantitative Linguistics and its place in Linguistics. Aspects of Quantitative Linguistics. Quantitative Linguistics in different countries (4 hours):
- descriptive statistics and statistical methods in Linguistics;
- frequency distribution in different data sets;
- measures of central tendency and methods of dispersion;
- sampling and data;
- hypothesis and testing;
- parametric and non-parametric tests;
- clustering analysis;
- analysis of variance;
- ANOVA measurements;
- Phonetics (2 hours):
- statistics in Phonology and Phonetics;
- speech processing and speech synthesis;
- Semantics (3 hours):
- statistics in Discourse;
- repeated measures;
- text coherence;
- Syntax (3 hours):
- quantitative methods in syntax;
- subordination and linearity;
- Psycholinguistics (3 hours):
- quantitative methods in Psycholinguistics;
- speech production and speech perception;
- Sociolinguistics (3 hours):
- quantitative methods in Sociolinguistics;
- language variations;
- Historical Linguistics (2 hours):
- quantitative methods in Historical Linguistics;
- Jonson, K. (2011). Quantitative Methods in Linguistics. Blackwell Publishing.
- Computer Speech and Language. Elsevier. https://www.sciencedirect.com/science/journal/08852308
- Ralph W. Fasold (Editor), Jeff Connor-Linton (Editor) (2014). An Introduction to Language and Linguistics. Cambridge University Press.
- Richard Kern (2015). Language, Literacy and Technology. Cambridge University Press.
- Quantitative Linguistics. An International Handbook (2005). Ed. R. Köhler, G. Altmann, R. Piotrowski. Walter de Gruyter, New York, Berlin.
- Probabilistic Linguistics (2003). Ed. R. Bod, J. Hay, S. Jennedy. MIT Press, Cambridge, Mass., London, England.
- Gries, St. (2014). Corpus and Quantitative Methods. In John Taylor & Jeannette Littlemore (eds.). Companion to Cognitive Linguistics. London & New York: Bloomsbury.
- Komputernaya lingvistika i intellektualnye technologii (2013). 12 (19). Moscow: RGGU [Computational Linguistics and Intellectual Technologies: papers from the Annual Conference “Dialogue”].
- Glynn, D. (2010). Corpus-Driven Cognitive Semantics. An Introduction to the Field. In Corpus-Driven Cognitive Semantics. Quantitative Approaches. Berlin: Mouton de Gruyter.
- Cognitive Linguistics: from Theory to Application and Back (2010). Ed. E. Tabakowska, M. Choiński, Ł. Wiraszka. Walter de Gruyter.
- Wildgen, W. (2008). The “Dynamic Turn” in Cognitive Linguistics. In Studies in Variation, Contacts and Change in English. Helsinki.
- Baayen, R.H. (2008). Analyzing Linguistic Data: a Practical Introduction to Statistics. CUP.
- Baranov, A.N. (2003) Vvedenie v prikladnuyu lingvistiku. Moscow: URSS [Baranov A.N. Introduction to Applied Linguistics].
- Language and Communication. Elsevier. https://www.sciencedirect.com/ science/journal/14751585/21.
- Language Sciences. Elsevier. https://www.sciencedirect.com/ science/journal/03880001.
- Speech Communication. Elsevier. https://www.sciencedirect.com/ science/journal/01676393
During the course, students will have to complete 7 written / laboratory tasks.
It is a pass/fail course. To get a pass, you should complete all the assignments.