Causality Across Languages (CAL): Russian


Causality Across Languages (CAL): Russian

Language: Russian (ISO639-3:rus)
Depositor: Anastasia Stepanova
Deposit Id: 0523
Grant id:
Funding body:
Level: Deposit

Summary of deposit
This deposit contains audio and video recordings of twelve Russian speakers conducting the Causality Across Languages discourse task. The task involved showing participants a series of short video clips to elicit event descriptions (e.g., a woman breaking an egg). Each session in the deposit corresponds with one participant. Sessions contain a compressed video recording of the participant doing the task and a corresponding WAV file.

Group represented
The data was collected in St. Petersburg, Russia. However, the speakers are originally from different urban areas of Russia including from the Far East and Siberia. There are no obvious dialectal differences. All the speakers are mostly monolingual speakers of Russian and do not speak any other language on a regular basis.

Special characteristics


Deposit contents
The deposit contains twelve sessions, each session representing one participants' response to the discourse task. Sessions contain a compressed MP4 video recording and a corresponding WAV file.

Deposit history
The data for this deposit was collected by Anastasia Stepanova in June and August 2016. All recordings were made in St. Petersburg, Russia.

Other information
Language information The Russian language belongs to the family of Indo-European languages, one of the four living members of the East Slavic languages, and part of the larger Balto-Slavic branch. It is an official language in Russia, Belarus, Kazakhstan and Kyrgyzstan, and is being widely spoken throughout Eastern Europe, the Baltic states, the Caucasus and Central Asia.

Acknowledgement and citation
Users of any part of the collection should acknowledge Anastasia Stepanova as the data collector and researcher. Users should also acknowledge Juergen Bohnemeyer as the Primary Investigator of the Causality Across Languages project and the National Science Foundation for funding the research. Individual speakers do not need to be acknowledged when extracting linguistic examples from their speech.

Status

Forthcoming
Resources yet to be deposited

Depositor

Anastasia Stepanova
Affiliation: SUNY Buffalo

Deposit Statistics

Data from 2018 November 14 to 2018 November 14
Deposit hits:1
Downloaded files
Without statistics


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