A Perplexity-Based Method for Similar Languages Discrimination
2017-04-01WS 2017Unverified0· sign in to hype
Pablo Gamallo, Jose Ramom Pichel, I{\~n}aki Alegria
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This article describes the system submitted by the Citius\_Ixa\_Imaxin team to the VarDial 2017 (DSL and GDI tasks). The strategy underlying our system is based on a language distance computed by means of model perplexity. The best model configuration we have tested is a voting system making use of several n-grams models of both words and characters, even if word unigrams turned out to be a very competitive model with reasonable results in the tasks we have participated. An error analysis has been performed in which we identified many test examples with no linguistic evidences to distinguish among the variants.