Crossing Sentence Boundaries in Machine Translation

Abstract

Machine Translation systems translate sentences in a document independently of the discourse and any context information that crosses sentence boundaries. Often, the context provided in a sentence is not enough to correctly disambiguate a word, and the systems make incorrect lexical choices that negatively impact on the quality of the translations.In this thesis, we attempt to integrate discourse knowledge into Machine Translation as a means to improve lexical choice in translation. Specifically, we develop discourse-aware methods for Show more