Classifying text genres across languages can bring the benefits of genre classification to the target language without the costs of manual annotation. This article introduces the first approach to this task, which exploits text features that can be considered stable genre predictors across languages. My experiments show this method to perform equally well or better than full text translation combined with monolingual classification, while requiring fewer resources.