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2. SALDO
- Publisher:
- Språkbanken, Dept. of Swedish Language, Göteborg University
- Type:
- toolService
- Language:
- Swedish
- Description:
- SALDO (Swedish Associative Thesaurus version 2) is an extensive lexicon resource for modern Swedish written language created for the purpose of language technology research and for the development of language technology applications. SALDO may be viewed as a basic lexical resouce for a Swedish BLARK. SALDO builds on Swedish Associative Thesaurus, a semantic lexicon for Swedish.
- Rights:
- Not specified
3. Slavic Forest, Norwegian Wood (scripts)
- Creator:
- Rosa, Rudolf, Zeman, Daniel, Mareček, David, and Žabokrtský, Zdeněk
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- suiteOfTools and toolService
- Subject:
- parsing, dependency parser, universal dependencies, and cross-lingual parsing
- Language:
- Czech, Slovak, Slovenian, Croatian, Danish, Swedish, and Norwegian
- Description:
- Tools and scripts used to create the cross-lingual parsing models submitted to VarDial 2017 shared task (https://bitbucket.org/hy-crossNLP/vardial2017), as described in the linked paper. The trained UDPipe models themselves are published in a separate submission (https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-1971). For each source (SS, e.g. sl) and target (TT, e.g. hr) language, you need to add the following into this directory: - treebanks (Universal Dependencies v1.4): SS-ud-train.conllu TT-ud-predPoS-dev.conllu - parallel data (OpenSubtitles from Opus): OpenSubtitles2016.SS-TT.SS OpenSubtitles2016.SS-TT.TT !!! If they are originally called ...TT-SS... instead of ...SS-TT..., you need to symlink them (or move, or copy) !!! - target tagging model TT.tagger.udpipe All of these can be obtained from https://bitbucket.org/hy-crossNLP/vardial2017 You also need to have: - Bash - Perl 5 - Python 3 - word2vec (https://code.google.com/archive/p/word2vec/); we used rev 41 from 15th Sep 2014 - udpipe (https://github.com/ufal/udpipe); we used commit 3e65d69 from 3rd Jan 2017 - Treex (https://github.com/ufal/treex); we used commit d27ee8a from 21st Dec 2016 The most basic setup is the sl-hr one (train_sl-hr.sh): - normalization of deprels - 1:1 word-alignment of parallel data with Monolingual Greedy Aligner - simple word-by-word translation of source treebank - pre-training of target word embeddings - simplification of morpho feats (use only Case) - and finally, training and evaluating the parser Both da+sv-no (train_ds-no.sh) and cs-sk (train_cs-sk.sh) add some cross-tagging, which seems to be useful only in specific cases (see paper for details). Moreover, cs-sk also adds more morpho features, selecting those that seem to be very often shared in parallel data. The whole pipeline takes tens of hours to run, and uses several GB of RAM, so make sure to use a powerful computer.
- Rights:
- GNU General Public License 2 or later (GPL-2.0), http://opensource.org/licenses/GPL-2.0, and PUB
4. UDify Pretrained Model
- Creator:
- Kondratyuk, Dan and Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- syntax, dependency parser, and universal dependencies
- Language:
- Ancient Greek (to 1453), Arabic, Basque, Bulgarian, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Gothic, Modern Greek (1453-), Hebrew, Hindi, Hungarian, Indonesian, Irish, Italian, Japanese, Latin, Norwegian, Church Slavic, Persian, Polish, Portuguese, Romanian, Slovenian, Spanish, Swedish, Tamil, Catalan, Chinese, Galician, Kazakh, Latvian, Russian, Turkish, Coptic, Sanskrit, Slovak, Ukrainian, Uighur, Vietnamese, Belarusian, Korean, Lithuanian, Urdu, Russia Buriat, Northern Kurdish, Northern Sami, Upper Sorbian, Afrikaans, Yue Chinese, Marathi, Serbian, Swedish Sign Language, Telugu, Amharic, Armenian, Breton, Faroese, Komi-Zyrian, Nigerian Pidgin, Old French (842-ca. 1400), Tagalog, Thai, Warlpiri, Yoruba, Akkadian, Bambara, Erzya, and Maltese
- Description:
- Pretrained model weights for the UDify model, and extracted BERT weights in pytorch-transformers format. Note that these weights slightly differ from those used in the paper.
- Rights:
- Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), http://creativecommons.org/licenses/by-sa/4.0/, and PUB
5. Universal Dependencies 2.10 models for UDPipe 2 (2022-07-11)
- Creator:
- Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- tokenizer, POS tagger, lemmatization, tagger, parser, and dependency parser
- Language:
- Afrikaans, Arabic, Belarusian, Bulgarian, Catalan, Czech, Church Slavic, Coptic, Welsh, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Faroese, Persian, Finnish, French, Old French (842-ca. 1400), Scottish Gaelic, Irish, Galician, Gothic, Ancient Greek (to 1453), Ancient Hebrew, Hebrew, Hindi, Croatian, Hungarian, Armenian, Western Armenian, Indonesian, Icelandic, Italian, Japanese, Korean, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Maltese, Dutch, Norwegian Nynorsk, Norwegian Bokmål, Old Russian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Telugu, Turkish, Uighur, Ukrainian, Urdu, Vietnamese, Gambian Wolof, Wolof, and Chinese
- Description:
- Tokenizer, POS Tagger, Lemmatizer and Parser models for 123 treebanks of 69 languages of Universal Depenencies 2.10 Treebanks, created solely using UD 2.10 data (https://hdl.handle.net/11234/1-4758). The model documentation including performance can be found at https://ufal.mff.cuni.cz/udpipe/2/models#universal_dependencies_210_models . To use these models, you need UDPipe version 2.0, which you can download from https://ufal.mff.cuni.cz/udpipe/2 .
- Rights:
- Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB
6. Universal Dependencies 2.12 models for UDPipe 2 (2023-07-17)
- Creator:
- Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- tokenizer, POS tagger, lemmatization, tagger, parser, and dependency parser
- Language:
- Afrikaans, Arabic, Belarusian, Bulgarian, Catalan, Czech, Church Slavic, Coptic, Welsh, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Faroese, Persian, Finnish, French, Old French (842-ca. 1400), Scottish Gaelic, Irish, Galician, Gothic, Ancient Greek (to 1453), Ancient Hebrew, Hebrew, Hindi, Croatian, Hungarian, Armenian, Western Armenian, Indonesian, Icelandic, Italian, Japanese, Korean, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Maltese, Dutch, Norwegian Nynorsk, Norwegian Bokmål, Old Russian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Telugu, Turkish, Uighur, Ukrainian, Urdu, Vietnamese, Gambian Wolof, Wolof, Chinese, Norwegian, Erzya, and Manx
- Description:
- Tokenizer, POS Tagger, Lemmatizer and Parser models for 131 treebanks of 72 languages of Universal Depenencies 2.12 Treebanks, created solely using UD 2.12 data (https://hdl.handle.net/11234/1-5150). The model documentation including performance can be found at https://ufal.mff.cuni.cz/udpipe/2/models#universal_dependencies_212_models . To use these models, you need UDPipe version 2.0, which you can download from https://ufal.mff.cuni.cz/udpipe/2 .
- Rights:
- Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB
7. Universal Dependencies 2.4 Models for UDPipe (2019-05-31)
- Creator:
- Straka, Milan and Straková, Jana
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- tokenizer, POS tagger, lemmatization, tagger, parser, and dependency parser
- Language:
- Czech, Afrikaans, Arabic, Belarusian, Bulgarian, Catalan, Church Slavic, Coptic, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Persian, Finnish, French, Old French (842-ca. 1400), Irish, Galician, Gothic, Ancient Greek (to 1453), Hebrew, Hindi, Croatian, Hungarian, Armenian, Indonesian, Italian, Japanese, Kazakh, Korean, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Maltese, Dutch, Norwegian Nynorsk, Norwegian Bokmål, Old Russian, Polish, Portuguese, Romanian, Russian, Sanskrit, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Telugu, Turkish, Uighur, Ukrainian, Urdu, Vietnamese, Gambian Wolof, Wolof, and Chinese
- Description:
- Tokenizer, POS Tagger, Lemmatizer and Parser models for 90 treebanks of 60 languages of Universal Depenencies 2.4 Treebanks, created solely using UD 2.4 data (http://hdl.handle.net/11234/1-2988). The model documentation including performance can be found at http://ufal.mff.cuni.cz/udpipe/models#universal_dependencies_24_models . To use these models, you need UDPipe binary version at least 1.2, which you can download from http://ufal.mff.cuni.cz/udpipe . In addition to models itself, all additional data and value of hyperparameters used for training are available in the second archive, allowing reproducible training.
- Rights:
- Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB
8. Universal Dependencies 2.5 Models for UDPipe (2019-12-06)
- Creator:
- Straka, Milan and Straková, Jana
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- tokenizer, POS tagger, lemmatization, tagger, parser, and dependency parser
- Language:
- Czech, Afrikaans, Arabic, Belarusian, Bulgarian, Catalan, Church Slavic, Coptic, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Persian, Finnish, French, Old French (842-ca. 1400), Irish, Galician, Gothic, Ancient Greek (to 1453), Hebrew, Hindi, Croatian, Hungarian, Armenian, Indonesian, Italian, Japanese, Kazakh, Korean, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Maltese, Dutch, Norwegian Nynorsk, Norwegian Bokmål, Old Russian, Polish, Portuguese, Romanian, Russian, Sanskrit, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Telugu, Turkish, Uighur, Ukrainian, Urdu, Vietnamese, Gambian Wolof, Wolof, Chinese, and Scottish Gaelic
- Description:
- Tokenizer, POS Tagger, Lemmatizer and Parser models for 94 treebanks of 61 languages of Universal Depenencies 2.5 Treebanks, created solely using UD 2.5 data (http://hdl.handle.net/11234/1-3105). The model documentation including performance can be found at http://ufal.mff.cuni.cz/udpipe/models#universal_dependencies_25_models . To use these models, you need UDPipe binary version at least 1.2, which you can download from http://ufal.mff.cuni.cz/udpipe . In addition to models itself, all additional data and value of hyperparameters used for training are available in the second archive, allowing reproducible training.
- Rights:
- Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB
9. Universal Dependencies 2.6 models for UDPipe 2 (2020-08-31)
- Creator:
- Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- tokenizer, POS tagger, lemmatization, tagger, parser, and dependency parser
- Language:
- Afrikaans, Arabic, Armenian, Belarusian, Bulgarian, Catalan, Czech, Church Slavic, Coptic, Welsh, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Persian, Finnish, French, Old French (842-ca. 1400), Scottish Gaelic, Irish, Galician, Gothic, Ancient Greek (to 1453), Hebrew, Hindi, Croatian, Hungarian, Indonesian, Italian, Japanese, Korean, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Maltese, Dutch, Norwegian Nynorsk, Norwegian Bokmål, Old Russian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Telugu, Turkish, Uighur, Ukrainian, Urdu, Vietnamese, Gambian Wolof, Wolof, and Chinese
- Description:
- Tokenizer, POS Tagger, Lemmatizer and Parser models for 99 treebanks of 63 languages of Universal Depenencies 2.6 Treebanks, created solely using UD 2.6 data (https://hdl.handle.net/11234/1-3226). The model documentation including performance can be found at https://ufal.mff.cuni.cz/udpipe/2/models#universal_dependencies_26_models . To use these models, you need UDPipe version 2.0, which you can download from https://ufal.mff.cuni.cz/udpipe/2 .
- Rights:
- Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB