Paraphrase Generation and Evaluation on Colloquial-Style Sentences

This paper uses state-of-the-art neural machine translation models trained on the Opusparcus corpus to generate paraphrases in six languages and compares two different model architectures, an RNN and a Transformer model, and finds that the Transformer does not generally outperform the RNN.