Kvistur 2.0: a BiLSTM Compound Splitter for Icelandic

In this paper, we present a character-based BiLSTM model for splitting Icelandic compound words, and show how varying amounts of training data affects the performance of the model. Compounding is highly productive in Icelandic, and new compounds are constantly being created... (read more)

PDF Abstract LREC 2020 PDF LREC 2020 Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper