Abstract
In this paper we present our experience in building machine translation (MT) systems for the languages of the Baltic States: Estonian, Latvian, and Lithuanian. The paper reports on the implementation, research, data, data collection methods, and evaluation of the MT. Results of the evaluation show that it is possible to collect a sufficient amount of data and train MT systems that can compete with Google in quality and even overtake it in general domain MT.
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