Laboratory of Linguistic Typology

    Dr. of Linguistics
    Lead Researcher

    Dr. of Linguistics
    Lead Researcher

    Ph.D., Linguistics
    Researcher (совместитель)

    Ph.D., Linguistics
    Researcher (совместитель)

    Ph.D., Linguistics
    Researcher

    Ph.D., Linguistics
    Researcher

    Dr. of Linguistics
    Chief Researcher

    Dr. of Linguistics
    Chief Researcher

    Dr. of Linguistics
    Lead Researcher

    Dr. of Linguistics
    Lead Researcher

    Ph.D., Linguistics
    Researcher Academic Secretary

    Ph.D., Linguistics
    Researcher Academic Secretary
    Ph.D., Linguistics
    Researcher Academic Secretary

    Junior Researcher (совместитель)

    Junior Researcher (совместитель)

    Ph.D., Linguistics
    Senior Researcher (совместитель)

    Ph.D., Linguistics
    Senior Researcher (совместитель)

    Ph.D., Linguistics
    Senior Researcher (совместитель)

    Ph.D., Linguistics
    Senior Researcher (совместитель)

    Ph.D., Linguistics
    Senior Researcher

    Ph.D., Linguistics
    Senior Researcher

    Ph.D., Linguistics
    Senior Researcher

    Ph.D., Linguistics
    Senior Researcher

    Ph.D., Linguistics
    Laboratory Head, Lead Researcher

    Ph.D., Linguistics
    Laboratory Head, Lead Researcher
    Ph.D., Linguistics
    Laboratory Head, Lead Researcher

    Базы данных

    • NoCaCoDa is a typological database of nominal causal constructions. Nominal causal constructions are constructions where the causing event is syntactically represented by a noun phrase, as in The woman woke up from [the noise] or The woman can’t fall asleep because of [the mosquitoes]. The database makes it possible to explore the ways in which different nominal causal markers, such as English from and because of in the examples above, are distributed over various causal contexts. As of 2023, the database covers 35 languages, primarily from Northern Eurasia. The data have been collected using a questionnaire containing 54 stimulus sentences. These stimulus sentences capture various semantic subtypes of nominal causal constructions.

    • BivalTyp is a typological database of bivalent verbs and their encoding frames. As of 2023, the database presents data for 92 languages, mainly spoken in Northern Eurasia. The database is based on a questionnaire containing 130 predicates given in context. Language-particular encoding frames are identified based on the devices (such as cases, adpositions, and verbal indices) involved in encoding two predefined arguments of each predicate (e.g. ‘Peter’ and ‘the dog’ in ‘Peter is afraid of the dog’). In each language, one class of verbs is identified as transitive. The goal of the project is to explore the ways in which bivalent verbs can be split between the transitive and different intransitive valency classes.