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    Stagger: an Open-Source Part of Speech Tagger for Swedish by Robert Östling

    Published 2013-09-01
    “…By using the SALDO morphological lexicon and semi-supervised learning in the form of Collobert andWeston embeddings, it reaches an accuracy of 96.4% on the standard Stockholm-Umeå Corpus dataset, making it the best single part of speech tagging system reported for Swedish. …”
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    SUC-CORE: A Balanced Corpus Annotated with Noun Phrase Coreference by Kristina Nilsson Björkenstam

    Published 2013-09-01
    “… This paper describes SUC-CORE, a subset of the Stockholm Ume°a Corpus and the Swedish Treebank annotated with noun phrase coreference. …”
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