Deep Learning Models for Multilingual Hate Speech Detection
Table 4: Multilingual scenario: the training data is from all the languages except one and the validation and testing data is from the remaining language. The bold figures represent the best scores.
['Testing Language', 'Model', 'Training Size Zero shot', 'Training Size 16', 'Training Size 32', 'Training Size 64', 'Training Size 128', 'Training Size 256', 'Full D']
Observations: Similar to the monolingual scenario, we observe that with increasing training data, the classifier performance increases in general.