Abstract
This paper summarizes our recent results concerning English-Czech Machine Translation implemented in the TectoMT framework. The system uses tectogrammatical trees as the transfer medium.
A detailed analysis of errors made by the previous version of the system (considered as the baseline) is presented first. Then we describe a number of improvements of the system that led to better translation quality in terms of BLEU and NIST scores.
The biggest performance gain comes from applying Hidden Tree Markov Model in the transfer phase, which is a novel technique in the field of Machine Translation.