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Manócska: A Unified Verb Frame Database for Hungarian

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Text, Speech, and Dialogue (TSD 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11107))

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Abstract

This paper presents Manócska, a verb frame database for Hungarian. It is called unified as it was built by merging all available verb frame resources. To be able to merge these, we had to cope with their structural and conceptual differences. After that, we transformed them into two easy to use formats: a TSV and an XML file. Manócska is open-access, the whole resource and the scripts which were used to create it are available in a github repository. This makes Manócska reproducible and easy to access, version, fix and develop in the future. During the merging process, several errors came into sight. These were corrected as systematically as possible. Thus, by integrating and harmonizing the resources, we produced a Hungarian verb frame database of a higher quality.

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Notes

  1. 1.

    The resource and a detailed description of its structure can be found at

    https://github.com/ppke-nlpg/manocska.

  2. 2.

    http://corpus.nytud.hu/isz/.

  3. 3.

    https://hlt.bme.hu/hu/resources/tade.

  4. 4.

    Mazsola and Tádé are two puppets from a Hungarian puppet animated film which was popular in the early 1970s. The eponym of our database, Manócska is also a puppet from this film.

  5. 5.

    https://github.com/kagnes/infinitival_constructions.

  6. 6.

    The rank value is computed by dividing the actual frame frequency of the given record and the summarized frame frequency for each resource, and finally by summarizing the divisions’ results.

  7. 7.

    Due to licence reasons, the original resources could not be included but they can be asked for by the original copyright holders at the given addresses.

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Correspondence to Balázs Indig .

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Kalivoda, Á., Vadász, N., Indig, B. (2018). Manócska: A Unified Verb Frame Database for Hungarian. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech, and Dialogue. TSD 2018. Lecture Notes in Computer Science(), vol 11107. Springer, Cham. https://doi.org/10.1007/978-3-030-00794-2_14

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  • DOI: https://doi.org/10.1007/978-3-030-00794-2_14

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