@inproceedings{3adc829e299345b391ed4a06a1dfd456,
title = "Building the World's Best General Domain MT for Baltic Languages",
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.",
keywords = "Baltic languages, corpora, Machine translation",
author = "Raivis Skadiņ{\v s} and Valters {\v S}ics and Roberts Rozis",
note = "Publisher Copyright: {\textcopyright} 2014 The Authors and IOS Press.; 6th International Conference on Human Language Technologies - The Baltic Perspective, Baltic HLT 2014 ; Conference date: 26-09-2014 Through 27-09-2014",
year = "2014",
doi = "10.3233/978-1-61499-442-8-141",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "141--148",
editor = "Andrius Utka and Gintare Grigonyte and Jurgita Kapociute-Dzikiene and Jurgita Vaicenoniene",
booktitle = "Human Language Technologies - The Baltic Perspective",
address = "Netherlands",
}