Papers by Kristín Bjarnadóttir

1 papers
Kvistur 2.0: a BiLSTM Compound Splitter for Icelandic (2020.lrec-1)

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Challenge: Compounding is highly productive in Icelandic, and new compounds are constantly being created.
Approach: They propose a character-based biLSTM model for splitting Icelandic compound words . the model learns how to split compound words into two parts .
Outcome: The proposed model outperforms other methods on a corpus of manually split word forms.

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