Hi there, welcome to my website! I’m Miguel Domingo. I work as a Ph.D. researcher at the PRHLT Research Center from Universitat Politècnica de València. I have mainly worked in machine translation and historical document processing, but my interests also include pattern recognition and machine learning.

Professional experience

February 2022–Present

Ph.D. Researcher - Pattern Recognition and Human Language Technologies Research Center.
I have been working on several machine learning research projects, mainly on the field of machine translation.

July 2015–January 2022

Researcher - Pattern Recognition and Human Language Technologies Research Center.
I worked on several machine learning research projects—mainly on the fields of machine translation and historical documents processing—while doing my Ph.D. studies.

Education

2015–2022

Ph.D. - Universitat Politècnica de València.
I did a Ph.D. in computer science at the PRHLT Research Center. It was mainly focused on interactive machine translation and on applying machine translation to some tasks related with the processing of historical documents (language modernization and spelling normalization). Ph.D.’s’ thesis: Some Contributions to Interactive Machine Translation and to the Applications of Machine Translation for Historical Documents.

2014–2015

Master’s degree - Universitat Politècnica de València.
I did a M.Sc. in artificial intelligence, pattern recognition and digital imaging, focusing on interactive machine translation and automatic post-editing. Master’s thesis: Interactive Post-Editing in Machine Translation.

2008–2014

Engineer’s degree - Universitat Politècnica de València.
I did a B.Sc. in computer science (computer science engineer), focusing on artificial intelligence and formal languages. I spent half a year at Edinburgh Napier University taking courses on sound design and security and forensic computing. My Bachelor’s thesis (Reconocedor Automático de Melodías de Música Clásica) was focused on identifying classical melodies from a fragment of it, a hum, a whistle or an a cappella fragment (only for songs with lyrics).