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Start Over Subject part of speech Harvested from LINDAT/CLARIAH-CZ repository

1. Deltacorpus

Creator:
Mareček, David, Yu, Zhiwei, Zeman, Daniel, and Žabokrtský, Zdeněk
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
text and corpus
Subject:
part of speech, tagging, semi-supervised, and cross-language
Language:
Belarusian, Bosnian, Bulgarian, Czech, Serbo-Croatian, Croatian, Upper Sorbian, Macedonian, Polish, Russian, Slovak, Slovenian, Serbian, Ukrainian, Latvian, Lithuanian, Afrikaans, Danish, German, English, Faroese, Western Frisian, Swiss German, Icelandic, Limburgan, Luxembourgish, Low German, Dutch, Norwegian Nynorsk, Norwegian, Scots, Swedish, Yiddish, Aragonese, Asturian, Catalan, French, Galician, Haitian, Italian, Latin, Lombard, Neapolitan, Piemontese, Portuguese, Romanian, Spanish, Venetian, Walloon, Breton, Welsh, Scottish Gaelic, Irish, Modern Greek (1453-), Armenian, Albanian, Dimli (individual language), Persian, Gilaki, Kurdish, Tajik, Bengali, Bishnupriya, Gujarati, Fiji Hindi, Hindi, Marathi, Nepali (macrolanguage), Urdu, Amharic, Arabic, Egyptian Arabic, Hebrew, Estonian, Finnish, Hungarian, Basque, Georgian, Chuvash, Azerbaijani, Turkish, Uzbek, Kazakh, Tatar, Yakut, Korean, Mongolian, Telugu, Kannada, Malayalam, Tamil, Newari, Vietnamese, Indonesian, Javanese, Malagasy, Maori, Malay (macrolanguage), Pampanga, Sundanese, Tagalog, Waray (Philippines), Swahili (macrolanguage), Esperanto, Ido, Interlingua (International Auxiliary Language Association), and Volapük
Description:
Texts in 107 languages from the W2C corpus (http://hdl.handle.net/11858/00-097C-0000-0022-6133-9), first 1,000,000 tokens per language, tagged by the delexicalized tagger described in Yu et al. (2016, LREC, Portorož, Slovenia).
Rights:
Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), http://creativecommons.org/licenses/by-sa/4.0/, and PUB

2. Deltacorpus 1.1

Creator:
Mareček, David, Yu, Zhiwei, Zeman, Daniel, and Žabokrtský, Zdeněk
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
text and corpus
Subject:
part of speech, tagging, semi-supervised, and cross-language
Language:
Belarusian, Bosnian, Bulgarian, Czech, Serbo-Croatian, Croatian, Upper Sorbian, Macedonian, Polish, Russian, Slovak, Slovenian, Serbian, Ukrainian, Latvian, Lithuanian, Afrikaans, Danish, German, English, Faroese, Western Frisian, Swiss German, Icelandic, Limburgan, Luxembourgish, Low German, Dutch, Norwegian Nynorsk, Norwegian, Scots, Swedish, Yiddish, Aragonese, Asturian, Catalan, French, Galician, Haitian, Italian, Latin, Lombard, Neapolitan, Piemontese, Portuguese, Romanian, Spanish, Venetian, Walloon, Breton, Welsh, Scottish Gaelic, Irish, Modern Greek (1453-), Armenian, Albanian, Dimli (individual language), Persian, Gilaki, Kurdish, Tajik, Bengali, Bishnupriya, Gujarati, Fiji Hindi, Hindi, Marathi, Nepali (macrolanguage), Urdu, Amharic, Arabic, Egyptian Arabic, Hebrew, Estonian, Finnish, Hungarian, Basque, Georgian, Chuvash, Azerbaijani, Turkish, Uzbek, Kazakh, Tatar, Yakut, Korean, Mongolian, Telugu, Kannada, Malayalam, Tamil, Newari, Vietnamese, Indonesian, Javanese, Malagasy, Maori, Malay (macrolanguage), Pampanga, Sundanese, Tagalog, Waray (Philippines), Swahili (macrolanguage), Esperanto, Ido, Interlingua (International Auxiliary Language Association), and Volapük
Description:
Texts in 107 languages from the W2C corpus (http://hdl.handle.net/11858/00-097C-0000-0022-6133-9), first 1,000,000 tokens per language, tagged by the delexicalized tagger described in Yu et al. (2016, LREC, Portorož, Slovenia). Changes in version 1.1: 1. Universal Dependencies tagset instead of the older and smaller Google Universal POS tagset. 2. SVM classifier trained on Universal Dependencies 1.2 instead of HamleDT 2.0. 3. Balto-Slavic languages, Germanic languages and Romance languages were tagged by classifier trained only on the respective group of languages. Other languages were tagged by a classifier trained on all available languages. The "c7" combination from version 1.0 is no longer used.
Rights:
Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), http://creativecommons.org/licenses/by-sa/4.0/, and PUB

3. Lingua::Interset 2.026

Creator:
Zeman, Daniel
Publisher:
Charles University, Faculty of Mathematics and Physics
Type:
tool and toolService
Subject:
morphology, part of speech, conversion, and tagset
Language:
Arabic, Bulgarian, Bengali, Catalan, Czech, Danish, German, Modern Greek (1453-), English, Spanish, Estonian, Basque, Persian, Finnish, Ancient Greek (to 1453), Hebrew, Hindi, Croatian, Japanese, Multiple languages, and Portuguese
Description:
Lingua::Interset is a universal morphosyntactic feature set to which all tagsets of all corpora/languages can be mapped. Version 2.026 covers 37 different tagsets of 21 languages. Limited support of the older drivers for other languages (which are not included in this package but are available for download elsewhere) is also available; these will be fully ported to Interset 2 in future. Interset is implemented as Perl libraries. It is also available via CPAN.
Rights:
Artistic License (Perl) 1.0, http://opensource.org/licenses/Artistic-Perl-1.0, and PUB

4. The Diorisis Ancient Greek Corpus

Creator:
Vatri, Alessandro and McGillivray, Barbara
Publisher:
Figshare
Type:
text and corpus
Subject:
annotated corpus, ancient world, lemmatization, and part of speech
Language:
Ancient Greek (to 1453)
Description:
An annotated corpus of literary Ancient Greek sourced from the Perseus Canonical Greek Lit repository (https://github.com/PerseusDL/canonical-greekLit), “The Little Sailing” digital library (http://www.mikrosapoplous.gr/en/texts1en.html), and the Bibliotheca Augustana digital library (http://www.hs-augsburg.de/~harsch/augustana.html#gr). The corpus consists of 820 texts spanning between the beginnings of the AG literary tradition (Homer) and the fifth century AD, and it counts 10,206,421 words. In addition to referring to this resource, please use the following citation when citing the corpus: Vatri, A., & McGillivray, B. (2018). The Diorisis Ancient Greek Corpus, Research Data Journal for the Humanities and Social Sciences, 3(1), 55-65. doi: https://doi.org/10.1163/24523666-01000013
Rights:
Not specified