UralicNLP - The NLP library for Uralic languages ...
UralicNLP is a natural language processing library targeted mainly for Uralic languages. -- UralicNLP can produce morphological analysis, generate morphological forms, lemmatize words and give lexical information about words in Uralic and other languages. At the time of writing, at least the followi...
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2020
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Online Access: | https://dx.doi.org/10.23728/b2share.ed270f760cc94f65ae5d0828c1da544a https://b2share.eudat.eu/records/ed270f760cc94f65ae5d0828c1da544a |
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ftdatacite:10.23728/b2share.ed270f760cc94f65ae5d0828c1da544a 2024-04-28T08:27:10+00:00 UralicNLP - The NLP library for Uralic languages ... Hämäläinen, Mika 2020 https://dx.doi.org/10.23728/b2share.ed270f760cc94f65ae5d0828c1da544a https://b2share.eudat.eu/records/ed270f760cc94f65ae5d0828c1da544a unknown https://b2share.eudat.eu open 1.2.3 → Linguistics → Computational linguistics nlp fst dataset Dataset 2020 ftdatacite https://doi.org/10.23728/b2share.ed270f760cc94f65ae5d0828c1da544a 2024-04-02T12:50:43Z UralicNLP is a natural language processing library targeted mainly for Uralic languages. -- UralicNLP can produce morphological analysis, generate morphological forms, lemmatize words and give lexical information about words in Uralic and other languages. At the time of writing, at least the following languages are supported: Finnish, Russian, German, English, Norwegian, Swedish, Arabic, Ingrian, Meadow & Eastern Mari, Votic, Olonets-Karelian, Erzya, Moksha, Hill Mari, Udmurt, Tundra Nenets, Komi-Permyak, North Sami, South Sami and Skolt Sami. This information originates mainly from FST tools and dictionaries developed in the GiellaLT infrastructure. Currently, UralicNLP uses the nightly builds for most of the supported languages. -- If you use UralicNLP in an academic publication, please cite it as follows: Hämäläinen, Mika. (2019). UralicNLP: An NLP Library for Uralic Languages. Journal of open source software, 4(37), [1345]. https://doi.org/10.21105/joss.01345 ... Dataset karelian nenets sami Tundra DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
1.2.3 → Linguistics → Computational linguistics nlp fst |
spellingShingle |
1.2.3 → Linguistics → Computational linguistics nlp fst Hämäläinen, Mika UralicNLP - The NLP library for Uralic languages ... |
topic_facet |
1.2.3 → Linguistics → Computational linguistics nlp fst |
description |
UralicNLP is a natural language processing library targeted mainly for Uralic languages. -- UralicNLP can produce morphological analysis, generate morphological forms, lemmatize words and give lexical information about words in Uralic and other languages. At the time of writing, at least the following languages are supported: Finnish, Russian, German, English, Norwegian, Swedish, Arabic, Ingrian, Meadow & Eastern Mari, Votic, Olonets-Karelian, Erzya, Moksha, Hill Mari, Udmurt, Tundra Nenets, Komi-Permyak, North Sami, South Sami and Skolt Sami. This information originates mainly from FST tools and dictionaries developed in the GiellaLT infrastructure. Currently, UralicNLP uses the nightly builds for most of the supported languages. -- If you use UralicNLP in an academic publication, please cite it as follows: Hämäläinen, Mika. (2019). UralicNLP: An NLP Library for Uralic Languages. Journal of open source software, 4(37), [1345]. https://doi.org/10.21105/joss.01345 ... |
format |
Dataset |
author |
Hämäläinen, Mika |
author_facet |
Hämäläinen, Mika |
author_sort |
Hämäläinen, Mika |
title |
UralicNLP - The NLP library for Uralic languages ... |
title_short |
UralicNLP - The NLP library for Uralic languages ... |
title_full |
UralicNLP - The NLP library for Uralic languages ... |
title_fullStr |
UralicNLP - The NLP library for Uralic languages ... |
title_full_unstemmed |
UralicNLP - The NLP library for Uralic languages ... |
title_sort |
uralicnlp - the nlp library for uralic languages ... |
publisher |
https://b2share.eudat.eu |
publishDate |
2020 |
url |
https://dx.doi.org/10.23728/b2share.ed270f760cc94f65ae5d0828c1da544a https://b2share.eudat.eu/records/ed270f760cc94f65ae5d0828c1da544a |
genre |
karelian nenets sami Tundra |
genre_facet |
karelian nenets sami Tundra |
op_rights |
open |
op_doi |
https://doi.org/10.23728/b2share.ed270f760cc94f65ae5d0828c1da544a |
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1797586248967127040 |