Fr. 236.00

Quantitative Approaches to the Russian Language

Inglese · Copertina rigida

Spedizione di solito entro 1 a 3 settimane (non disponibile a breve termine)

Descrizione

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This edited collection presents a range of methods that can be used to analyse linguistic data quantitatively.

Sommario

Introductory chapters. 1. Russian challenges for quantitative research, Mikhail Kopotev, Olga Lyashevskaya, Arto Mustajoki. 2. Big data and word frequency: Measuring the consistency of Russian corpor, Maria Khokhlova.Topics in Semantics. 3. Looking for contextual cues to differentiating modal meanings: A corpus-based study, Olga Lyashevskaya, Maria. Ovsjannikova, Nina Szymor, Dagmar Divjak. 4. Automated word sense frequency estimation for Russian nouns, Anastasiya Lopukhina, Konstantin Lopukhin, Grigory Nosyrev. 5. Two centuries in two thousand words: Neural embedding models in detecting diachronic lexical changes, Andrey Kutuzov, Elizaveta Kuzmenko.Topics in Lexicon-Grammar Interface. 6. The grammatical profiles of Russian biaspectual verbs, Aleksander Piperski. 7. Evaluation of collocation extraction measures for the Russian language, Lidia Pivovarova, Daria Kormacheva, Mikhail Kopotev. 8. From quantitative to semantic analysis: Russian constructions with dative subject in diachrony, Anastasia Bonch-Osmolovskaya. Topics in Language Acquisition. 9. Measuring bilingual literacy: Challenges of writing in two languages, Aleksei Korneev and Ekaterina Protassova. 10. When performance masquerades as comprehension: Grammaticality judgments in experiments with non-native speaker, Robin Orfitelli, Maria Polinsky.

Info autore










Mikhail Kopotev is Professor of Russian at the University of Helsinki.
Olga Lyashevskaya is Professor and Leading Research Fellow at the National Research University Higher School of Economics, Russia.
Arto Mustajoki is Professor of Russian Language and Literature at the University of Helsinki.


Riassunto

This edited collection presents a range of methods that can be used to analyse linguistic data quantitatively.

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