Obtaining SMT dictionaries for related languages

Abstract

This study explores methods for developing Machine Translation dictionaries on the basis of word frequency lists coming from comparable corpora. We investigate (1) various methods to measure the similarity of cognates between related languages, (2) detection and removal of noisy cognate translations using SVM ranking. We show preliminary results on several Romance and Slavonic languages.