SemUr - Semantic Databases for Uralic Languages

These databases are translated from SemFi by using Giellatekno XML dictionaries. The included python script can be used to update these databases or to create new ones for other languages. Currently, SemUr has the following languages SemSms - Skolt Sami SemKpv - Komi Zyrian SemMyv - Erzya SemMdf - M...

Full description

Bibliographic Details
Main Author: Hämäläinen, Mika
Format: Dataset
Language:unknown
Published: Zenodo 2018
Subjects:
NLG
Online Access:https://dx.doi.org/10.5281/zenodo.1454649
https://zenodo.org/record/1454649
id ftdatacite:10.5281/zenodo.1454649
record_format openpolar
spelling ftdatacite:10.5281/zenodo.1454649 2023-05-15T18:10:56+02:00 SemUr - Semantic Databases for Uralic Languages Hämäläinen, Mika 2018 https://dx.doi.org/10.5281/zenodo.1454649 https://zenodo.org/record/1454649 unknown Zenodo https://dx.doi.org/10.5281/zenodo.1453322 https://dx.doi.org/10.5281/zenodo.1454650 https://dx.doi.org/10.5281/zenodo.1463688 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Skolt Sami Erzya Moksha Komi-Zyrian Semantics NLG dataset Dataset 2018 ftdatacite https://doi.org/10.5281/zenodo.1454649 https://doi.org/10.5281/zenodo.1453322 https://doi.org/10.5281/zenodo.1454650 https://doi.org/10.5281/zenodo.1463688 2021-11-05T12:55:41Z These databases are translated from SemFi by using Giellatekno XML dictionaries. The included python script can be used to update these databases or to create new ones for other languages. Currently, SemUr has the following languages SemSms - Skolt Sami SemKpv - Komi Zyrian SemMyv - Erzya SemMdf - Moksha Cite as Hämäläinen, Mika. (2018). Extracting a Semantic Database with Syntactic Relations for Finnish to Boost Resources for Endangered Uralic Languages. In The Proceedings of Logic and Engineering of Natural Language Semantics 15 (LENLS15) Dataset sami DataCite Metadata Store (German National Library of Science and Technology) Hämäläinen ENVELOPE(26.200,26.200,66.883,66.883)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Skolt Sami
Erzya
Moksha
Komi-Zyrian
Semantics
NLG
spellingShingle Skolt Sami
Erzya
Moksha
Komi-Zyrian
Semantics
NLG
Hämäläinen, Mika
SemUr - Semantic Databases for Uralic Languages
topic_facet Skolt Sami
Erzya
Moksha
Komi-Zyrian
Semantics
NLG
description These databases are translated from SemFi by using Giellatekno XML dictionaries. The included python script can be used to update these databases or to create new ones for other languages. Currently, SemUr has the following languages SemSms - Skolt Sami SemKpv - Komi Zyrian SemMyv - Erzya SemMdf - Moksha Cite as Hämäläinen, Mika. (2018). Extracting a Semantic Database with Syntactic Relations for Finnish to Boost Resources for Endangered Uralic Languages. In The Proceedings of Logic and Engineering of Natural Language Semantics 15 (LENLS15)
format Dataset
author Hämäläinen, Mika
author_facet Hämäläinen, Mika
author_sort Hämäläinen, Mika
title SemUr - Semantic Databases for Uralic Languages
title_short SemUr - Semantic Databases for Uralic Languages
title_full SemUr - Semantic Databases for Uralic Languages
title_fullStr SemUr - Semantic Databases for Uralic Languages
title_full_unstemmed SemUr - Semantic Databases for Uralic Languages
title_sort semur - semantic databases for uralic languages
publisher Zenodo
publishDate 2018
url https://dx.doi.org/10.5281/zenodo.1454649
https://zenodo.org/record/1454649
long_lat ENVELOPE(26.200,26.200,66.883,66.883)
geographic Hämäläinen
geographic_facet Hämäläinen
genre sami
genre_facet sami
op_relation https://dx.doi.org/10.5281/zenodo.1453322
https://dx.doi.org/10.5281/zenodo.1454650
https://dx.doi.org/10.5281/zenodo.1463688
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.1454649
https://doi.org/10.5281/zenodo.1453322
https://doi.org/10.5281/zenodo.1454650
https://doi.org/10.5281/zenodo.1463688
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