Dealing with Data Sparseness in SMT with Factured Models and Morphological Expansion: a Case Study on Croatian

Víctor M. Sánchez-Cartagena, Nikola Ljubesic, Filip Klubicka. Dealing with Data Sparseness in SMT with Factured Models and Morphological Expansion: a Case Study on Croatian. In Proceedings of the 19th Annual Conference of the European Association for Machine Translation, EAMT 2017, Riga, Latvia, May 30 - June 1, 2016. pages 354-360, 2016. [doi]

Abstract

Abstract is missing.