Yandex School of Data Analysis Machine Translation Systems for WMT13
Alexey Borisov, Jacob Dlougach, Irina Galinskaya · Workshop on Statistical Machine Translation · 2013
This paper describes the English-Russian and Russian-English statistical machine translation (SMT) systems developed at Yandex School of Data Analysis for the shared translation task of the ACL 2013 Eighth Workshop on Statistical Machine Translation. We adopted phrase-based SMT approach and evaluated a number of different techniques, including data filtering, spelling correction, alignment of lemmatized word forms and transliteration. Altogether they yielded +2.0 and +1.5 BLEU improvement for ru-en and enru language pairs. We also report on the experiments that did not have any positive effect and provide an analysis of the problems we encountered during the development of our systems.