… Finally, comparing the significant error types in the hybrid systems Bing and Systran, we …
quite different, reflecting various weaknesses in the architectures of both hybrid systems. …

… A hybrid neural machine translation technique for translating low resource languages. In
Proceedings of the International Conference on Machine Learning and Data Mining in Pattern …

This thesis aims to research methods and develop tools that allow to successfully combine
output from various machine translation (MT) systems so that the overall translation quality of …

… Specifically, an extensive framework of translation quality … for quality evaluation purpose,
using languageindependent statistics as … of MT post-editing efforts, it has achieved comparable …

… rule based MT, statistical MT, hybrid or neural MT approaches … MT approaches for NLP
and their comparative analysis. … of analysis of source language to get language independent …

… judgement criteria and automated evaluation metrics, which we … for both translation model
researchers and quality assessment … Such comparison will help MT researchers to select th …

… two hybrid systems: Bing is a statistical MT system … quality increase in the FF group would
imply that comparing two wrong translations before and after CL, the quality of the wrong MT …

… and professional translations of mass-media texts, and a register-comparable corpus of
non-… professional translations in a univariate analysis on a number of language-independent …

… a machine translation and one or more reference translations, … , ChrF is language-independent
and tokenizationindependent … , in comparison to using professional translations instead. …

… hypotheses within the beam to improve translation quality during NMT decoding. However,
this … The method we propose in this paper is completely language-independent. The method …