Andrea Artusi

Andrea Artusi is a Professor at the Universitat de València, affiliated with the Faculty of Philology, Translation and Communication and the Department of French and Italian. He is a member of the CiTrans research group focused on intercultural communication and translation, and was formerly part of the METALEXICA group on lexicography and contrastive linguistics. He holds a PhD from the same university and specializes in Italian Philology, with a strong focus on translation studies and contrastive linguistics.

• PhD, Universitat de València (2017)

His research interests include machine translation, phrasal verbs, lexicography, and intercultural communication, particularly in Italian-Spanish, Italian-French, and Italian-Catalan language combinations. He has contributed extensively to the analysis of syntagmatic verbs and bilingual dictionaries. His recent publications reflect a strong engagement with neural machine translation, post-editing, and the DITAPE project on translation practices in Spain.

The analysis of his recent articles shows a consistent focus on translation accuracy, contrastive linguistic analysis, and the integration of machine translation in both professional and educational settings. His work bridges theoretical linguistics with practical applications in translation training and industry practices.

Scientific contributions and research initiatives:

• Member, CiTrans Research Group (Intercultural Communication and Translation)
• Former member, METALEXICA (Lexicography and Contrastive Linguistics)
• Researcher, Inter-university Institute for Applied Modern Languages (IULMA)
• Key contributor to the DITAPE project on machine translation impact in Spain

Andrea Artusi has supervised doctoral research and is actively involved in shaping translation pedagogy and professional standards. His work includes developing best practices for tourism discourse and multilingual dictionaries. He has not received any explicitly mentioned awards, but his sustained publication record and project leadership reflect significant scholarly impact.