Ústav Českého národního korpusu FF UK zve na přednášky lingvisty Stefana Th. Griese

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Stefan Th. Gries působí na University of California v Santa Barbaře. Přednášky prosloví ve dnech 26. a 27. dubna 2017.

Corpus data and aspects of the mental lexicon from a cognitive-linguistic perspective: frequency, contingency, recency, and context

středa 26. dubna | 18:00 | nám. Jana Palacha 2, Praha 1 (FF UK, hlavní budova, místnost č. 104) | plakát

Over the last decades, linguistic research has become more diverse both theoretically and methodologically. With regard to the former, after a long period in which “theoretical linguistics” was synonymous with “generative linguistics”, now a wider variety of approaches have emerged; for this talk of interest are cognitive/usage-based approaches, which assume a less-than-modular linguistic system that is ‘governed’ to a large extent by domain-general mechanisms such as frequency, contingency, recency, context etc. With regard to the latter, linguists are now routinely using a wider range of data and it is corpus data that have seen a particular increase. Against this background, I will discuss in this talk ways in which corpus-based work can help explore the lexicon/construction in ways that properly operationalize the above domain-general determinants of processing and learning: frequency, contingency, recency, context. I will discuss two brief case studies – one on phonological similarity within lexical units (involving frequency), one on multi-word identification (adding contingency) – before I turn to a broader discussion of how to involve recency and context properly to our corpus-linguistic toolkit.

What statistical methods have to offer to linguistics: three (differently complex) case studies of spelling, morphological change, and foreign language learning

čtvrtek 27. dubna | 18:00 | nám. Jana Palacha 2, Praha 1 (FF UK, hlavní budova, místnost č. 104) | plakát

This talk is basically a demonstration of how quantitative methods of differ-ent degrees of sophistication can inform linguistic research on various levels of linguistic analysis. I will report on three case studies. First, I will show how very simple statistics can be used to explore aspects of Spanish Internet Orthography, specifically how standard spellings are changed in online fo-rums and comments and how even speakers’ typing is influenced by semantic and articulatory characteristics of what they are typing. Second, I will address a frequent question in historical data, namely how to study morphological change given the inherent noisiness and multidimensional nature of the data using exploratory as well as hypothesis-testing statistics. Finally, I will discuss a fairly new method designed to facilitate the exploration of how speakers of a certain kind (e.g., non-native speakers or indigenized variety speakers) differ from a ‘standard/reference’ group of speakers even when human annotators of, say, learner data are not available.