Russian data call for relational Information Structure notions
The Formal Grammar conference series (FG) provides a forum for the presentation of new and original research on formal grammar, mathematical linguistics, and the application of formal and mathematical methods to the study of natural language. Themes of interest include, but are not limited to: – Formal and computational phonology, morphology, syntax, semantics, and pragmatics – Model-theoretic and proof-theoretic methods in linguistics – Logical aspects of linguistic structure – Constraint-based and resource-sensitive approaches to grammar – Learnability of formal grammar – Integration of stochastic and symbolic models of grammar – Foundational, methodological, and architectural issues in grammar and linguistics – Mathematical foundations of statistical approaches to linguistic analysis Previous FG meetings were held in Barcelona (1995), Prague (1996), Aix-en-Provence (1997), Saarbrücken (1998), Utrecht (1999), Helsinki (2001), Trento (2002), Vienna (2003), Nancy (2004), Edinburgh (2005), Malaga (2006), Dublin (2007), Hamburg (2008), Bordeaux (2009), Copenhagen (2010), Ljubljana (2011), Opole (2012), Düsseldorf (2013), Tübingen (2014), Barcelona (2015), Bolzano-Bozen (2016), and Toulouse (2017). FG 2018, the 23rd conference on Formal Grammar, was held in Sofia, Bulgaria, during August 11–12, 2018. The conference consisted in a special session, dedicated to the memory of Richard T. Oehrle, who passed away in 2018, and seven contributed papers selected from 11 submissions. The present volume includes the contributed papers. We would like to thank the people who made the 23rd FG conference possible: the invited speakers, the members of the Program Committee, and the organizers of ESSLLI 2018, with which the conference was colocated. August 2018 Annie Foret Gerg Kobele Sylvain Pogodalla
To the point: Festschrift for Eric de Haard on the occasion of his 65th birthday. Contributions in English, Dutch and Russian. Available in university library UvA.
In this article, we present StimulStat – a lexical database for the Russian language in the form of a web appli- cation. The database contains more than 52,000 of the most frequent Russian lemmas and more than 1.7 million word forms derived from them. These lemmas and forms are char- acterized according to more than 70 properties that were dem- onstrated to be relevant for psycholinguistic research, includ- ing frequency, length, phonological and grammatical proper- ties, orthographic and phonological neighborhood frequency and size, grammatical ambiguity, homonymy and polysemy. Some properties were retrieved from various dictionaries and are presented collectively in a searchable form for the first time, the others were computed specifically for the database. The database can be accessed freely at http://stimul. cognitivestudies.ru.
We report a self-paced reading experiment studying how the inflectional class (declension) a noun belongs to and its gender influence the processing of gender agreement in Russian.