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Hebrew is a Morphological rich language, making its modeling harder thansimpler language. Recent developments such as Transformers in general and Bertin particular opened a path for Hebrew models that reach SOTA results, notfalling short from other non-MRL languages. We explore the cutting edge in thisfield performing style transfer, text generation and classification over newsarticles collected from online archives. Furthermore, the news portals thatfeed our collective consciousness are an interesting corpus to study, as theiranalysis and tracing might reveal insights about our society and discourse.

Style transfer and classification in hebrew news items