Marco Turchi is an accomplished researcher with a focus on information extraction, retrieval, and organization from text documents. Throughout his career, Turchi has applied a range of machine learning techniques to solve a variety of problems in the field of computational linguistics. With a Ph.D. in computer science from the University of Siena, Turchi has held research positions at organizations like MateCat, the European Commission Joint Research Centre, and Fondazione Bruno Kessler.

Turchi's research interests cover a broad range of topics, including statistical machine translation, text classification, clustering, web mining, and more. He has extensive experience working with programming languages such as Java, C++, Python, and Perl, and using applications like Lucene, Gate, Weka, and Apache Cayenne.

Working as the Head of the Machine Translation group at Fondazione Bruno Kessler, Turchi's current research is focused on integrating SMT technologies into the human translation workflow. His recent work on MT quality estimation in Computer Assisted Translation is supported by the European Project Matecat.