July 17, 2025 Dataset Open Access

INEL Kalmyk Corpus

Baranova, Vlada

Data manager(s)

Editor(s)

Corpus citation

Baranova, Vlada. 2025. INEL Kalmyk Corpus. Archived at Universität Hamburg. Version 1.0. Publication date 2025-07-17. https://hdl.handle.net/11022/0000-0007-FFB1-2. Archived at Universität Hamburg. In: The INEL Corpora of Indigenous Northern Eurasian Languages. https://hdl.handle.net/11022/0000-0007-F45A-1.

Corpus Description

The INEL Kalmyk Corpus has been created within the long-term INEL project ("Grammatical Descriptions, Corpora and Language Technology for Indigenous Northern Eurasian Languages"), 2016–2033.

The corpus consists of transcribed audio recordings collected in the Republic of Kalmykia between 2007 and 2018 in the Ketchenerovsky District (Derbet  and Torgut dialect).

All texts in the corpus are provided with interlinear morpheme-by-morpheme glosses and translation into English and Russian. All texts for which the audio recordings were accessible are time-aligned with them. 

Corpus Size

The corpus contains 55 texts, 2,076 sentences, and 19,742 tokens. The total duration of the audio recordings is 4 hours and 23 minutes.

Funding

The corpus has been produced in the context of the joint research funding of the German Federal Government and Federal States in the Academies’ Programme, with funding from the Federal Ministry of Education and Research and the Free and Hanseatic City of Hamburg. The Academies’ Programme is coordinated by the Union of the German Academies of Sciences and Humanities.

Contributions / Acknowledgements

Native speakers generously shared their knowledge of Kalmyk, making the creation of this corpus possible. Zamira Xejchieva and Galina Cabdy`rova assisted with oral transcription and the Russian translation of the audio materials.

Part of the materials were recorded during joint expeditions of St. Petersburg University and the Institute for Linguistic Studies of the Russian Academy of Sciences in 2007–2008, under the direction of Elena Perekhvalskaya and Sergey Say.

This corpus primarily follows the transcription system and partially adopts the glossing conventions developed by a research team led by Sergey Say, with input from other expedition participants.

Searching the corpus

The corpus can be downloaded from the ZFDM Repository using the links provided below and browsed or searched locally using the EXMARaLDA software or, alternatively, ELAN.

Online search with Tsakorpus platform is available at https://inel.corpora.uni-hamburg.de/KalmykCorpus/search.

Remote search with EXMARaLDA is also possible without downloading all the files (see https://inel.corpora.uni-hamburg.de/portal/help/en/index.php).

See the user documentation (section 3) for details on transcription, annotation tiers and annotation tags.
Find further information and links on the Kalmyk Corpus page at the INEL Resources portal: https://inel.corpora.uni-hamburg.de/portal/corpora/kalmyk/.