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Middle Dutch syllabified words

Authors: Haverals, Wouter;

Middle Dutch syllabified words

Abstract

Specifics of the data: Text file (syllabified_crm.txt) containing 43,710 syllabified Middle Dutch words, taken from the Corpus Van Reenen-Mulder. This corpus, created by Pieter van Reenen en Maaike Mulder at the Free University Amsterdam, contains about 2,500 Middle Dutch charters. It has about 750,000 tokens. The charters were written in the Netherlands and Flanders between 1300 and 1400. The 43,710 syllabified words in this list is the total amount of unique words from the Corpus Van Reenen-Mulder. Some tokens from this corpus were, however, excluded when assembling the data set due to the fact that they contained diacritic symbols to indicate abbreviations, clitics, or unclear parts in the original charter. A dash-symbol (-) is used as separator. Apart from the entire data set, this DOI also includes: A pdf-file visualizing the data set The splits used for the automatic syllabification experiment by Haverals, Kestemont & Karsdorp (2018). A gold standard out-of-corpus sample of 1,748 Middle Dutch words, taken at random from the Cd-rom Middelnederlands, also used in the above-mentioned syllabification experiment

{"references": ["Gosse Bouma & Ben Hermans. Syllabification of Middle Dutch. In F. Mambrini, M. Passarotti, and C. Sporleder, editors, Proceedings of the Second Workshop on Annotation of Corpora for Research in the Humanities, pp. 27-39, 2012.", "Pieter van Reenen & Maaike Mulder. Een gegevensbank van 14de- eeuwse Middelnederlandse dialecten op computer. Lexikos 3, pp. 259-281, 1993.", "Cd-rom Middelnederlands. Woordenboek en teksten. Sdu, 1998."]}

Country
Belgium
Related Organizations
Keywords

Literature, Middle Dutch, syllabification, syllabifi, syllabifier

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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