  This work presents our approach to train a neural network to detect
hate-speech texts in Hindi and Bengali. We also explore how transfer learning
can be applied to learning these languages, given that they have the same
origin and thus, are similar to some extend. Even though the whole experiment
was conducted with low computational power, the obtained result is comparable
to the results of other, more expensive, models. Furthermore, since the
training data in use is relatively small and the two languages are almost
entirely unknown to us, this work can be generalized as an effort to demystify
lost or alien languages that no human is capable of understanding.
