Computer Laboratory

Matic Horvat

Photo of Matic

I am a PhD student at the University of Cambridge, co-supervised by Dr Ann Copestake and Dr Bill Byrne. I am based in the Computer Laboratory, but spend some of my time in the Department of Engineering. In my PhD I am focused on bringing together deep semantic and statistical data-based approaches to machine translation and natural language realization. Among other things, I am exploring ways to incorporate semantic MRS structure into Hierarchical Phrase-based SMT.

I graduated in 2012 from the University of Ljubljana, Slovenia with a BSc Degree in Computer Science. I continued my studies at University of Cambridge, pursuing an MPhil in Advanced Computer Science. I graduated in 2013 with a distinction. I started the PhD at University of Cambridge in October 2013. The PhD usually takes 3-4 years to complete.

Research Interests

  • Natural Language Processing
  • Machine Translation
  • Machine Learning
  • Artificial Intelligence


  • Horvat, Matic, Ann Copestake, and William Byrne. "Hierarchical Statistical Semantic Realization for Minimal Recursion Semantics."
    Proceedings of the 11th International Conference on Computational Semantics (IWCS 2015): 107-117. 2015.
  • Eunsol Choi, Matic Horvat, Jonathan May, Kevin Knight and Daniel Marcu. "Extracting Structured Scholarly Information from the Machine Translation Literature."
    To appear at LREC 2016.
  • Ann Copestake, Guy Emerson, Michael Wayne Goodman, Matic Horvat, Alexander Kuhlne and Ewa Muszyńska. "Resources for building applications with Dependency Minimal Recursion Semantics"
    To appear at LREC 2016.
  • Horvat, Matic, and William Byrne. "A Graph-Based Approach to String Regeneration."
    Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014): 85-95. 2014.


Contact Information

Matic Horvat
University of Cambridge
Computer Laboratory
15 JJ Thomson Avenue
Cambridge CB3 0FD
United Kingdom

Phone:+44 (0) 1223 76 37 37
Email:firstname dot lastname at

I also maintain a LinkedIn profile.