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Most text-to-text generation tasks, for example text summarisation and text simplification, require copying words from the input to the output. We introduce copycat, a transformerbased pointer network for such tasks which obtains competitive results in abstractive text summarisation and generates more abstractive summaries. We propose a further extension of this architecture for automatic post-editing, where generation is conditioned over two inputs (source language and machine translation),doi:10.18653/v1/d19-1318 dblp:conf/emnlp/IveMS19 fatcat:c7yvvpe7wbfbhpiaz3kx55ggku