During the last two decades, the use of machine learning has greatly improved the adaptability to new domains, or even languages.
the vast majority of machine learning algorithms operate under a basic assumption: both the training and test data should use the same feature space, and follow the same distribution, suggesting that both should originate from the same thematic domain.