论文标题
使用神经网络的印地语，孟加拉仇恨语音检测和转移学习的探索性实验
An exploratory experiment on Hindi, Bengali hate-speech detection and transfer learning using neural networks
论文作者
论文摘要
这项工作介绍了我们培训神经网络以检测印地语和孟加拉语的仇恨语音文本的方法。我们还探讨了如何将转移学习应用于学习这些语言，因为它们具有相同的来源，因此与某些扩展相似。即使整个实验的计算能力低，但获得的结果与其他更昂贵的模型的结果相当。此外，由于使用中的培训数据相对较小，而且两种语言几乎完全不明显，因此可以将这项工作推广为努力使人们无法理解的丢失或外来语言脱颖而出。
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.
