We then present experiments showing that our harvested data not only substantially improves translations of microblog text with existing (and arguably inappropriate) translation models, but that it improves the translation of more traditional MT genres, like newswire.
translation models are generally robust to such kinds of errors and can learn good translations even in the presence of imperfect sentence pairs.