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The Janes project: language resources and tools for Slovene user generated content

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Abstract

The paper presents the results of the Janes project, which aimed to develop language resources and tools for Slovene user generated content. The paper first describes the 200 million word Janes corpus, containing tweets, forum posts, news comments, user and talk pages from Wikipedia, and blogs and blog comments, where each text is accompanied by rich metadata. The developed processing tools for Slovene user generated content are presented next, which include a tokeniser, word-normaliser, part-of-speech tagger and lemmatiser, and a named entity recogniser. A set of manually annotated datasets was also produced, both for tool training as well as for linguistic research. The developed resources and tools are made publicly available under Creative Commons licences in the repository of the CLARIN.SI research infrastructure and on GitHub, while the corpora are also available through the CLARIN.SI concordancers.

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Fig. 1

Notes

  1. Since in the Janes project the focus was on the non-standard linguistic features of UGC, we did not include the regular Wikipedia articles because they are written for a mass audience, in a formal register, objective and impersonal style, and in standard language, very much like regular informative texts.

  2. The latest 3,200 tweets of a user can be harvested.

  3. For this we used BeautifulSoup (https://www.crummy.com/software/BeautifulSoup/), where we wrote specialised grammars for each source of the HTML-based subcorpora, i.e. Forums, News and Blogs.

  4. https://github.com/clarinsi/wikitalk-extractor.

  5. https://www.clarin.si/kontext/, source available from https://github.com/ufal/lindat-kontext.

  6. https://www.clarin.si/noske/, source available from https://nlp.fi.muni.cz/trac/noske.

  7. https://www.clarin.eu/content/content-search.

  8. http://clarin.si/repository/xmlui.

  9. https://www.github.com/clarinsi/tweetpub.

  10. http://www.nltk.org/api/nltk.tokenize.html.

  11. https://www.github.com/clarinsi/csmtiser.

  12. http://nl.ijs.si/ME/V5/msd/.

  13. https://www.github.com/clarinsi/janes-ner.

  14. http://nl.ijs.si/janes/dogodki/.

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Acknowledgements

We would like to thank the anonymous reviewers for their valuable comments which helped us improved the paper. We would also like to thank Avtomobilizem.net, Kvarkadabra, MedOverNet, Mladina, Reporter and RTV Slovenija for permission to include their content in the Janes corpus. We are grateful to Jaka Čibej, Teja Goli, Dafne Marko, Eneja Osrajnik, Senja Pollak and Iza Škrjanec for manual metadata enrichment, Špela Arhar Holdt, Jaka Čibej, Kaja Dobrovoljc, Simon Krek and Katja Zupan for their help with the development of the annotation guidelines and the annotators Teja Goli, Melanija Kožar, Vesna Koželj, Polona Logar, Klara Lubej, Dafne Marko, Barbara Omahen, Eneja Osrajnik, Predrag Petrović, Polona Polc, Aleksandra Rajković, Špela Reher, Iza Škrjanec and Katja Zupan for their dedicated work throughout the campaign. The work described in this paper was funded by the Slovenian Research Agency within the national basic research projects “Resources, Tools and Methods for the Research of Nonstandard Internet Slovene” (J6-6842, 2014–2018) and “Resources, methods and tools for the understanding, identification and classification of various forms of socially unacceptable discourse in the information society” (J7-8280, 2017–2020).

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  1. Department of Translation, Faculty of Arts, University of Ljubljana, Aškerčeva cesta 2, 1000, Ljubljana, Slovenia

    Darja Fišer

  2. Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb, Ivana Lučića 3, 10000, Zagreb, Croatia

    Nikola Ljubešić

  3. Department of Knowledge Technologies, Jožef Stefan Institute, Jamova cesta 39, 1000, Ljubljana, Slovenia

    Darja Fišer, Nikola Ljubešić & Tomaž Erjavec

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Fišer, D., Ljubešić, N. & Erjavec, T. The Janes project: language resources and tools for Slovene user generated content. Lang Resources & Evaluation 54, 223–246 (2020). https://doi.org/10.1007/s10579-018-9425-z

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