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153 Research products

  • Digital Humanities and Cultural Heritage
  • 2012-2021
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  • Digital Humanities and Cultural Heritage

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Stultiens, Andrea;

    Ebifananyi 4, based on the Ham Mukasa Foundation Archive that HIPUganda digitised, has had several exhibition versions. This one puts a strong emphasis on the works produced by Ugandan artists and Dutch and Ugandan art students for the project. In this other exhibition creating an opportunity to explore Mukasa’s stories through various images and objects was the lead. See this short film for thoughts on the translation of the title of Ham Mukasa’s book on the three Kings; Simuda Nyuma, and the Luganda word Ekifananyi by curator Robinah Nansubuga and Artist Nathan Omiel. Participating artists in this exhibition are Achola Rosario, Eria Nsubuga, Fred Mutebi, Ian Mwesiga, Lwanga Emmanuel, Nathan Omiel, Papa Shabani, Sanaa Gateja and Violet Nantume. The Ugandan students followed Eria Nsubuga’s painting course at Uganda Christian University in Mukono, while the Dutch students were part of an elective I taught under the name ‘Illustrating (for) others’ at Academy Minerva in Groningen.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ NARCISarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ NARCISarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Dušek, Ondřej; Hajič, Jan; Hlaváčová, Jaroslava; Pecina, Pavel; +2 Authors

    This package contains data sets for development and testing of machine translation of sentences from summaries of medical articles between Czech, English, French, and German.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ LINDAT/CLARIAH-CZ re...arrow_drop_down
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    LINDAT/CLARIAH-CZ repository
    Other ORP type . 2014
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      LINDAT/CLARIAH-CZ repository
      Other ORP type . 2014
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Stultiens, Andrea;

    Reflection on the process towards and around the publication 'Ebifananyi VII, Staying Alive - documenting the Uganda Cancer Institute' by medical historian Marissa Mika

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Other ORP type . 2017
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    Authors: Labuschagne, C.J.;

    Logotechnical or Quantitative Structural Analysis (QSA) is a systematic investigation of the framework of biblical texts. This activity can also be called numerological criticism. It should certainly not be regarded as a new discipline in biblical scholarship but as a supplementary branch of literary criticism, of which the first and foremost task is to explore the architecture of a given text. It is based upon the hypothesis that the biblical writings are numerically structured— that is, that their composers arranged words, verses, pericopes, sections, books, and collections of books according to patterns defined by number, much as poetry is defined by quantities of cola, verselines, strophes, and cantos/stanzas. See for further information also: https://www.labuschagne.nl/.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DataverseNLarrow_drop_down
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    Other ORP type . 2020
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Rosa, Rudolf; Zeman, Daniel; Mareček, David; Žabokrtský, Zdeněk;

    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 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

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    LINDAT/CLARIAH-CZ repository
    Other ORP type . 2017
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      LINDAT/CLARIAH-CZ repository
      Other ORP type . 2017
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Leyssen, Mieke; Traub, Myriam; Ossenbruggen, Jacco; Hardman, Lynda;

    Cultural heritage institutes often make use of tags to facilitate searching their collections. While professionals associated with these institutes are able to add high quality descriptions to objects in the collections, both their time and their areas of expertise are limited. As a result, online tagging by non-professional users is more frequently becoming deployed to increase the number of tags. When these users are asked to tag objects in the collection, they can be confronted with tags submitted by other users. These tags may be of varying quality and present in differing numbers, both of which may influence users' tagging behavior. We report on a study on the impact of presenting different types of tags on the quality and quantity of tags added by users. We conclude that there is no difference in the quality and quantity of added tags in all experimental conditions, with the exception of the condition in which incorrect tags were presented. In this condition, the quality of the tags added by users decreased. We discuss the implications of these findings on the design of tagging interfaces.

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    Authors: Hagedoorn, Berber; van Gorp, Jasmijn; Keilbach, Judith; Müller, Eggo; +2 Authors
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    Other ORP type . 2018
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    Authors: Ribbens, C.R.; de Boer, V.; van Doornik, J.; Buitinck, L.; +2 Authors
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    Other ORP type . 2013
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    Authors: Caselli, Tommaso; Egger, Clara; Tziafas, Georgios; De Saint-Phalle, Eugenie;

    EXCEPTIUS Corpus v1.0, containing the following data: - raw documents for 21 countries at national level - pre-processed data with spacy-udpipe v1.0 - automatically annotated documents for the identification of exceptional measures at sentence level Country list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations - model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class. The Italy and Norway folder misses the predictions of the models.

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    Authors: Weerts, H.J.T.; Cohen, K.M.; Kleinhans, M.G.;

    According to legend, a very severe storm in November 1421 caused catastrophic flooding and overnight loss of the larger part of “De Groote Waard”, a prosperous polder area in medieval The Netherlands. Allegedly, more than 25 villages were lost and thousands of people were killed. But what had really happened? De Groote Waard had become a flood-protected polder area after construction of dikes and damming of smaller rivers was completed in 1283. By 1421, the land surface of most of this area had lowered to below Mean Sea Level, owing to subsidence due to ditch-drainage for agriculture and peat digging for fuel. In November 1421 a severe storm surge struck the area, the St.Elisabeth flood proper. Dikes along the southwestern side of the polder broke and subsided land was flooded. In February 1422, dikes along the tidal river Merwede (lowermost river Rhine) along the north of the polder gave way as well, due to flooding and presence of ice jams in the river bed. River discharge routed through the flooded polder had a gradient advantage relative to the old route. Half-hearted attempts to repair the dikes followed, but regional discord severely hampered adequate repair (“Hoeksche en Kabeljauwsche twisten”). In the autumn of 1424, both the dikes in the southwest (storm surge) and in the northeast (Rhine peak discharge) broke again. In 1425, the larger part of the 1421-1424 inundated land was given up. There is evidence for careful dismantling of stone buildings in the now deserted villages. The area (“Biesbosch”) was a large, shallow, fresh-water mesotidal basin, with river sediment entering through the dike breach channel in the northeast. Palaeogeographical reconstructions from old maps shows the formation of a river delta between 1460 and 1680 (Zonneveld, 1960). Both geological reconstruction and sedimentary modelling results suggest that for some twohundred years, the equivalent of the full Rhine river bed load sand was trapped in the area (550,000 to 900,000 m3 / year; Kleinhans et al., 2010). Only centuries later, after natural river sedimentation had healed this man+sea+river created scar in the delta, could the Biesbosch lost medieval polder be partially reclaimed for agriculture once again. So what had really happened? Not so much the severity of a single storm surge, but the combination of land subsidence and socio-economic forces and several flood events were fatal to the prosperous polder. The 1421 – 1424 floods were catastrophic only because of the preceding sinking of the land. Peat digging had been declared illegal, but there was no control on it. Dike maintenance was inadequate, and initial dike repairs failed, probably because of absence / weakness of a central organising power. Zonneveld, I., 1960. De Brabantse Biesbosch, a Study of Soil and Vegetation of a Freshwater Tidal Delta. Vol. A,B,C. PUDOC Centrum voor Landbouwpublicaties, Wageningen, The Netherlands, published PhD-thesis. Kleinhans, M.G., Weerts, H.J.T. & Cohen, K.M., 2010. Avulsion in action: Reconstruction and modelling sedimentation pace and upstream flood water levels following a medieval tidal-river diversion catastrophe (Biesbosch, The Netherlands, 1421-1750 AD). Geomorphology, 118: 65-79.

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153 Research products
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Stultiens, Andrea;

    Ebifananyi 4, based on the Ham Mukasa Foundation Archive that HIPUganda digitised, has had several exhibition versions. This one puts a strong emphasis on the works produced by Ugandan artists and Dutch and Ugandan art students for the project. In this other exhibition creating an opportunity to explore Mukasa’s stories through various images and objects was the lead. See this short film for thoughts on the translation of the title of Ham Mukasa’s book on the three Kings; Simuda Nyuma, and the Luganda word Ekifananyi by curator Robinah Nansubuga and Artist Nathan Omiel. Participating artists in this exhibition are Achola Rosario, Eria Nsubuga, Fred Mutebi, Ian Mwesiga, Lwanga Emmanuel, Nathan Omiel, Papa Shabani, Sanaa Gateja and Violet Nantume. The Ugandan students followed Eria Nsubuga’s painting course at Uganda Christian University in Mukono, while the Dutch students were part of an elective I taught under the name ‘Illustrating (for) others’ at Academy Minerva in Groningen.

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    Authors: Dušek, Ondřej; Hajič, Jan; Hlaváčová, Jaroslava; Pecina, Pavel; +2 Authors

    This package contains data sets for development and testing of machine translation of sentences from summaries of medical articles between Czech, English, French, and German.

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    LINDAT/CLARIAH-CZ repository
    Other ORP type . 2014
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      Other ORP type . 2014
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Stultiens, Andrea;

    Reflection on the process towards and around the publication 'Ebifananyi VII, Staying Alive - documenting the Uganda Cancer Institute' by medical historian Marissa Mika

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    Authors: Labuschagne, C.J.;

    Logotechnical or Quantitative Structural Analysis (QSA) is a systematic investigation of the framework of biblical texts. This activity can also be called numerological criticism. It should certainly not be regarded as a new discipline in biblical scholarship but as a supplementary branch of literary criticism, of which the first and foremost task is to explore the architecture of a given text. It is based upon the hypothesis that the biblical writings are numerically structured— that is, that their composers arranged words, verses, pericopes, sections, books, and collections of books according to patterns defined by number, much as poetry is defined by quantities of cola, verselines, strophes, and cantos/stanzas. See for further information also: https://www.labuschagne.nl/.

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    Authors: Rosa, Rudolf; Zeman, Daniel; Mareček, David; Žabokrtský, Zdeněk;

    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 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

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    Other ORP type . 2017
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    Authors: Leyssen, Mieke; Traub, Myriam; Ossenbruggen, Jacco; Hardman, Lynda;

    Cultural heritage institutes often make use of tags to facilitate searching their collections. While professionals associated with these institutes are able to add high quality descriptions to objects in the collections, both their time and their areas of expertise are limited. As a result, online tagging by non-professional users is more frequently becoming deployed to increase the number of tags. When these users are asked to tag objects in the collection, they can be confronted with tags submitted by other users. These tags may be of varying quality and present in differing numbers, both of which may influence users' tagging behavior. We report on a study on the impact of presenting different types of tags on the quality and quantity of tags added by users. We conclude that there is no difference in the quality and quantity of added tags in all experimental conditions, with the exception of the condition in which incorrect tags were presented. In this condition, the quality of the tags added by users decreased. We discuss the implications of these findings on the design of tagging interfaces.

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      Other ORP type . 2012
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    Authors: Hagedoorn, Berber; van Gorp, Jasmijn; Keilbach, Judith; Müller, Eggo; +2 Authors
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    Other ORP type . 2018
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    Authors: Ribbens, C.R.; de Boer, V.; van Doornik, J.; Buitinck, L.; +2 Authors
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    Other ORP type . 2013
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    Authors: Caselli, Tommaso; Egger, Clara; Tziafas, Georgios; De Saint-Phalle, Eugenie;

    EXCEPTIUS Corpus v1.0, containing the following data: - raw documents for 21 countries at national level - pre-processed data with spacy-udpipe v1.0 - automatically annotated documents for the identification of exceptional measures at sentence level Country list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations - model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class. The Italy and Norway folder misses the predictions of the models.

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    Other ORP type . 2021
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