Rate My Professor Fernando Alva Manchego

His research centers on text-to-text generation, including text simplification, summarisation and machine translation, as well as the evaluation of natural language generation systems, writing assistance tools and natural language processing applications for education. He has authored or co-authored numerous publications, such as "Data-Driven Sentence Simplification: Survey and benchmark" in Computational Linguistics (2020), "The (un)suitability of automatic evaluation metrics for text simplification" in Computational Linguistics (2021) and "Controllable text simplification with explicit paraphrasing" presented at NAACL (2021). Dr Alva Manchego has presented work at major conferences including ACL, EMNLP, LREC and NAACL, advancing benchmarks and datasets for sentence simplification and related tasks. His contributions extend to projects on multilingual question generation, readability assessment and language resources for Welsh and other languages.