IceNeuralParsingPipeline 20.04
The Icelandic Neural Parsing Pipeline (IceNeuralParsingPipeline) includes all steps necessary for parsing plain Icelandic text, i.e. preprocessing, parsing and post processing. The preprocessing step consists of tokenization, both punctuation and matrix clause splitting. The parsing step consists of an Icelandic model of the Berkeley Neural Parser, trained on IcePaHC, which reports an 84.74 F1 score. The output's annotation scheme is the same as IcePaHC's, except that neither empty phrases, e.g. traces and zero subjects, nor lemmas are shown. The post processing step includes minor steps for cleaning and formatting the parsed text.