This paper describes CLiPS's submissions for the Discriminating between Dutch and Flemish in Subtitles (DFS) shared task at VarDial 2018. We explore different ways to combine classifiers trained on different feature groups. Our best system uses two Linear SVM classifiers; one trained on lexical features (word n-grams) and one trained on syntactic features (PoS n-grams). The final prediction for a document to be in Flemish Dutch or Netherlandic Dutch is made by the classifier that outputs the highest probability for one of the two labels. This confidence vote approach outperforms a meta-classifier on the development data and on the test data.
REF uses two SVM classifiers: one trained on word n-grams fewtures and one trained on Pos n-grams to determine whether a document is in Flemish Dutch or Netherlandic Dutch.
Exploring Classifier Combinations for Language Variety Identification.
VarDial@COLING 2018
Computer Science