This paper reports on implementation and evaluation of English-Latvian and Lithuanian-English statistical machine translation systems. It also gives brief introduction of project scope --Baltic languages, prior implementations of MT and evaluation of MT systems. In this paper we report on results of both automatic and human evaluation. Results of human evaluation show that factored SMT gives significant improvement of translation quality compared to baseline SMT.
['Raivis Skadiņš', 'Kārlis Goba', 'Valters Šics']
Improving SMT for Baltic Languages with Factored Models