The experimental results show how the multilingual approach, which is the only one able to consider features coming from the two languages, is the one that obtains the best performance under a number of different feature combinations.
table 4 shows the accuracy obtained on   table 5: Micro-averaged F1 (%) on the code-switching set the code-switching collection by: (1) the English monolingual model (en) , (2) the Spanish monolingual model (es) and the multilingual model (en-es).