Machine Translation with parfda, Moses, kenlm, nplm, and PRO

Ergun Biçici. Machine Translation with parfda, Moses, kenlm, nplm, and PRO. In Proc. of the Fourth Conference on Statistical Machine Translation (WMT19), Florence, Italy, August 2019.

We build parfda Moses statistical machine translation (SMT) models for most language pairs in the news translation task. We experiment with a hybrid approach using neural language models integrated into Moses. We obtain the constrained data statistics on the machine translation task, the coverage of the test sets, and the upper bounds on the translation results. We also contribute a new testsuite for the German-English language pair and a new automated key phrase extraction technique for the evaluation of the testsuite translations.