In all of her work Anya aims to ensure that research findings translate into real-world usefulness. She has worked with diverse types of application tasks and data, partnering with companies and public sector bodies such as Google, GSK, Medicines and Healthcare products Regulatory Agency (MHRA) and Royal London Society for Blind People (RLSB). It was in large part due to Anya’s research work that language generation researchers adopted statistical methods (providing robustness in application), and comparative, task-driven evaluation (enabling prediction of performance in application) as standard, increasing the real-world application potential of language generation methods.
Anya has published around 90 research papers in the fields of text analysis, language generation, evaluation and image description. Her research has been funded by grants from the Engineering and Physical Sciences Research Council (EPSRC), the British Academy and the European Commission (EC), and has been recognised by awards including a best paper award and a recent nomination for the North American Chapter of the Association for Computational Linguistics (NAACL) Test of Time award, as well as by advisory roles and senior reviewing appointments for funding bodies such as EPSRC and the EC.