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<Paper uid="W05-0821">
  <Title>Improved Language Modeling for Statistical Machine Translation</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Statistical machine translation systems use a combination of one or more translation models and a language model. While there is a significant body of research addressing the improvement of translation models, the problem of optimizing language models for a specific translation task has not received much attention. Typically, standard word trigram models are used as an out-of-the-box component in a statistical machine translation system.</Paragraph>
    <Paragraph position="1"> In this paper we apply language modeling techniques that have proved beneficial in automatic speech recognition to the ACL05 machine translation shared data task and demonstrate improvements over a baseline system with a standard language model.</Paragraph>
  </Section>
class="xml-element"></Paper>