INEL Enets corpus

The annotated corpus of Enets (< Samoyedic < Uralic) is available for online search or download under a CC-BY-NC-SA license. Corpus size in words: 218711. You will find full documentation here. We also have an online corpus-based dictionary.

About

The INEL Enets Corpus has been created within the long-term INEL project headed by Prof. Dr. Beáta Wagner-Nagy, scheduled for 2016–2033.

The corpus makes possible typologically aware corpus-based grammatical research on the Enets language and expands the documentation of the lesser described indigenous languages of Northern Eurasia.

The corpus includes texts recorded between 1962–2017 in both Enets lects, Forest Enets and Tundra Enets. The sources of the corpus (see more details in the user documentation, section 2.2) are:

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. Video recordings are also included into the corpus if available.

Corpus size

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.

Preliminary glossing work included into this corpus was supported by Endangered Languages Documentation Programme (ELDP) and by Max Planck Institute for Evolutionary Anthropology (MPI-EVA). See more details on financial support in the documentation file, section 1.6.

Contributions/Acknowledgements

Dozens of people and many institutions contributed to the corpus (see more details in the documentation file below, section 1.6). We are especially grateful to:

Search

The Tsakorpus search system is used for the online search. You can search by lemma (root), word form, glosses and grammatical tags. You can combine several parameters or specify a distance between search terms to make an advanced search query. You can also narrow down you search to a subcorpus. For more information, use the ❔ button at the top of the search page.

For offline search, you can download the corpus from the ZFDM Repository. A downloaded corpus can be browsed or searched locally using the EXMARaLDA software or, alternatively, ELAN. Remote search with EXMARaLDA is also possible without downloading all the files (see here).


Other links

Akademie der Wissenschaften in Hamburg Universität Hamburg