SMT of Latvian, Lithuanian and Estonian Languages: a Comparative Study
Maxim Khalilov, Lauma Pretkalniņa, Natalja Kuvaldina, Veronika Pereseina · Frontiers in artificial intelligence and applications · 2010
This paper is an attempt to discover the main challenges in working with Baltic and Estonian languages, and to identify the most significant sources of errors generated by a SMT system trained on large-vocabulary parallel corpora from legislative domain. An immense distinction between Latvian/Lithuanian and Estonian languages causes a set of non-equivalent difficulties which we classify and compare.