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42. Retrograde Morphemic Dictionary of Czech - verbs
- Creator:
- Slavíčková, Eleonora, Hlaváčová, Jaroslava, and Pognan, Patrice
- Publisher:
- Academia
- Type:
- text, lexicon, and lexicalConceptualResource
- Subject:
- morphemes, morphology, prefix, and root
- Language:
- Czech
- Description:
- The file contains all Czech verbs included in the Retrograde Morphemic Dictionary of Czech Language (Slavíčková Eleonora, Academia 1975). The data was obtained by scanning a portion of the dictionary that contains words ending in -ci and -ti. Among them, there were 18 non-verbs, which were removed. Using OCR, the data was converted into the plain text format and the result was checked by two independent readers. However, if a user encounters a forgotten error, please report.
- 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
43. Slavic Forest, Norwegian Wood (models)
- 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:
- other and toolService
- Subject:
- parsing, dependency parser, cross-lingual parsing, and universal dependencies
- Language:
- Slovak, Croatian, and Norwegian
- Description:
- Trained models for UDPipe used to produce our final submission to the Vardial 2017 CLP shared task (https://bitbucket.org/hy-crossNLP/vardial2017). The SK model was trained on CS data, the HR model on SL data, and the SV model on a concatenation of DA and NO data. The scripts and commands used to create the models are part of separate submission (http://hdl.handle.net/11234/1-1970). The models were trained with UDPipe version 3e65d69 from 3rd Jan 2017, obtained from https://github.com/ufal/udpipe -- their functionality with newer or older versions of UDPipe is not guaranteed. We list here the Bash command sequences that can be used to reproduce our results submitted to VarDial 2017. The input files must be in CoNLLU format. The models only use the form, UPOS, and Universal Features fields (SK only uses the form). You must have UDPipe installed. The feats2FEAT.py script, which prunes the universal features, is bundled with this submission. SK -- tag and parse with the model: udpipe --tag --parse sk-translex.v2.norm.feats07.w2v.trainonpred.udpipe sk-ud-predPoS-test.conllu A slightly better after-deadline model (sk-translex.v2.norm.Case-feats07.w2v.trainonpred.udpipe), which we mention in the accompanying paper, is also included. It is applied in the same way (udpipe --tag --parse sk-translex.v2.norm.Case-feats07.w2v.trainonpred.udpipe sk-ud-predPoS-test.conllu). HR -- prune the Features to keep only Case and parse with the model: python3 feats2FEAT.py Case < hr-ud-predPoS-test.conllu | udpipe --parse hr-translex.v2.norm.Case.w2v.trainonpred.udpipe NO -- put the UPOS annotation aside, tag Features with the model, merge with the left-aside UPOS annotation, and parse with the model (this hassle is because UDPipe cannot be told to keep UPOS and only change Features): cut -f1-4 no-ud-predPoS-test.conllu > tmp udpipe --tag no-translex.v2.norm.tgttagupos.srctagfeats.Case.w2v.udpipe no-ud-predPoS-test.conllu | cut -f5- | paste tmp - | sed 's/^\t$//' | udpipe --parse no-translex.v2.norm.tgttagupos.srctagfeats.Case.w2v.udpipe
- 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
44. 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
45. Slovak MorphoDiTa Models 170914
- Creator:
- Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text, mlmodel, and languageDescription
- Subject:
- MorphoDiTa, Slovak, morphological analysis, morphological generation, and PoS tagging
- Language:
- Slovak
- Description:
- Slovak models for MorphoDiTa, providing morphological analysis, morphological generation and part-of-speech tagging. The morphological dictionary is created from MorfFlex SK 170914 and the PoS tagger is trained on automatically translated Prague Dependency Treebank 3.0 (PDT).
- 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
46. sqad 2.1
- Creator:
- Medveď, Marek, Horák, Aleš, and Kušniráková, Dáša
- Publisher:
- Natural Language Processing Centre, Faculty of Informatics, Masaryk University
- Type:
- text and corpus
- Subject:
- Czech, Simple Question Answering Database, and question answering
- Language:
- Czech
- Description:
- Simple question answering database version 2.1 (SQAD_v2.1) created from Czech Wikipedia. Each record of SQAD consist of four files (in vertical form provided with lemmatization and POS tagging) and two metadata files.
- Rights:
- GNU Library or "Lesser" General Public License 3.0 (LGPL-3.0), http://opensource.org/licenses/LGPL-3.0, and PUB
47. SQAD v2
- Creator:
- Medveď, Marek, Horák, Aleš, and Šulganová, Terézia
- Publisher:
- Natural Language Processing Centre, Faculty of Informatics, Masaryk University
- Type:
- text and corpus
- Subject:
- question answering, Czech, and Simple Question Answering Database
- Language:
- Czech
- Description:
- Simple question answering database (SQAD) created from Czech Wikipedia. Each record of SQAD consist of four files (in vertical form provided with lemmatization and POS tagging) and two metadata files.
- Rights:
- GNU General Public Licence, version 3, http://opensource.org/licenses/GPL-3.0, and PUB
48. SumeCzech
- Creator:
- Straka, Milan, Mediankin, Nikita, Kocmi, Tom, Žabokrtský, Zdeněk, Hudeček, Vojtěch, and Hajič, Jan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- summarization, SumeCzech, and Rouge
- Language:
- Czech
- Description:
- This entry contains the SumeCzech dataset and the metric RougeRAW used for evaluation. Both the dataset and the metric are described in the paper "SumeCzech: Large Czech News-Based Summarization Dataset" by Milan Straka et al. The dataset is distributed as a set of Python scripts which download the raw HTML pages from CommonCrawl and then process them into the required format. The MPL 2.0 license applies to the scripts downloading the dataset and to the RougeRAW implementation. Note: sumeczech-1.0-update-230225.zip is the updated release of the SumeCzech download script, including the original RougeRAW evaluation metric. The download script was modified to use the updated CommonCraw download URL and to support Python 3.10 and Python 3.11. However, the downloaded dataset is still exactly the same. The original archive sumeczech-1.0.zip was renamed to sumeczech-1.0-obsolete-180213.zip and is kept for reference.
- Rights:
- Mozilla Public License 2.0, http://opensource.org/licenses/MPL-2.0, and PUB
49. SynSemClass 1.0
- Creator:
- Urešová, Zdeňka, Fučíková, Eva, Hajičová, Eva, and Hajič, Jan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text, lexicon, and lexicalConceptualResource
- Subject:
- verbal valency, predicate argument structure, semantic roles, bilingual corpus annotation, translational equivalence, comparative syntax, and comparative semantics
- Language:
- English and Czech
- Description:
- The SynSemClass synonym verb lexicon is a result of a project investigating semantic ‘equivalence’ of verb senses and their valency behavior in parallel Czech-English language resources, i.e., relating verb meanings with respect to contextually-based verb synonymy. The lexicon entries are linked to PDT-Vallex (http://hdl.handle.net/11858/00-097C-0000-0023-4338-F), EngVallex (http://hdl.handle.net/11858/00-097C-0000-0023-4337-2), CzEngVallex (http://hdl.handle.net/11234/1-1512), FrameNet (https://framenet.icsi.berkeley.edu/fndrupal/), VerbNet (http://verbs.colorado.edu/verbnet/index.html), PropBank (http://verbs.colorado.edu/%7Empalmer/projects/ace.html), Ontonotes (http://verbs.colorado.edu/html_groupings/), and English Wordnet (https://wordnet.princeton.edu/). Part of the dataset are files reflecting interannotator agreement.
- 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
50. SynSemClass 3.5
- Creator:
- Urešová, Zdeňka, Fučíková, Eva, Hajičová, Eva, Hajič, Jan, Zaczynska, Karolina, and Rehm, Georg
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text, lexicon, and lexicalConceptualResource
- Subject:
- verbal valency, predicate argument structure, semantic roles, bilingual corpus annotation, translational equivalence, comparative syntax, and comparative semantics
- Language:
- Czech, English, and German
- Description:
- The SynSemClass 3.5 synonym verb lexicon investigates semantic ‘equivalence’ of verb senses and their valency behavior in parallel Czech-English and German-English language resources, i.e., relates verb meanings with respect to contextually-based verb synonymy. The Czech lexicon entries are linked to PDT-Vallex (http://hdl.handle.net/11858/00-097C-0000-0023-4338-F), Vallex (http://hdl.handle.net/11234/1-3524), and CzEngVallex (http://hdl.handle.net/11234/1-1512). The English lexicon entries are linked to EngVallex (http://hdl.handle.net/11858/00-097C-0000-0023-4337-2), CzEngVallex (http://hdl.handle.net/11234/1-1512), FrameNet (https://framenet.icsi.berkeley.edu/fndrupal/), VerbNet (https://uvi.colorado.edu/ and http://verbs.colorado.edu/verbnet/index.html), PropBank (http://propbank.github.io/), Ontonotes (http://clear.colorado.edu/compsem/index.php?page=lexicalresources&sub=ontonotes), and English Wordnet (https://wordnet.princeton.edu/). The German lexicon entries are linked to Woxikon (https://synonyme.woxikon.de), E-VALBU (https://grammis.ids-mannheim.de/verbvalenz), and GUP (http://alanakbik.github.io/multilingual.html; https://github.com/UniversalDependencies/UD_German-GSD).
- Rights:
- Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), http://creativecommons.org/licenses/by-nc-nd/4.0/, and PUB