Building Strong Multilingual Aligned Corpora
Reza Bosagh Zadeh · 2009
Recent advances have allowed algorithms that learn from aligned natural language texts to exploit aligned sentences in more than two languages. We investigate ways of combining () N 2 bilingual aligned corpora together to create a multilingual aligned corpus across N languages. As a result of the combination of several corpora, our algorithms output a multilingual corpus, with each aligned tuple assigned a quality score called ‘strength ’ that may be used when learning from the multilingual corpus. We show that the addition of bilingual corpora used with alignment strengths can significantly improve Statistical Machine Translation quality on an Arabic→English task. 1