Lexical Normalization and POS-tagging for Code-switched Data
Table 6: Accuracies of normalization (Id-En, Tr-De) and POS tagging (Tr-De) on test data, comparing the baselines to the best two normalization models.
['Dataset', 'Task', 'LAI', 'Multilingual', 'Language-aware', 'Gold']
Interestingly, the multilingual model slightly outperforms the language-aware model on the Tr-De data. For the Id-En data, the final performances of the two normalization models are very close to each other. Similar as for the normalization, the POS tagger also performs better when using the multilingual model, in general the LAI scores are lower and performance increases are higher compared to the development data.