INEL Mansi corpus

The annotated corpus of Mansi (< Uralic) is available for online search or download under a CC-BY-NC-SA license. Corpus size in words: 397146. You will find full documentation here.

About

The INEL Mansi Corpus has been created within the long-term INEL project (“Grammatical Descriptions, Corpora, and Language Technology for Indigenous Northern Eurasian Languages”) in the context of the Academies’ Programme, coordinated by the Union of the German Academies of Sciences and Humanities.

Mansi is a relatively well-documented language, with numerous grammatical descriptions and an existing corpus. However, not all varieties have been represented in previously available corpora. The present corpus addresses this gap by incorporating materials from the Tavda variety, alongside a number of texts from the Western dialect group. Most of the corpus data originate from the Northern dialect group.

The INEL Mansi Corpus comprises texts drawn from the following sources:

All texts in the corpus are provided with interlinear morpheme-by-morpheme glosses. All texts for which audio recordings are available have been time-aligned with the corresponding recordings.

Corpus size

The corpus contains 196 texts from 47 speakers, 6,179 sentences and 48,145 tokens. The total duration of the audio recordings is 1 hour 36 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.

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