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<Paper uid="W06-3102">
  <Title>Initial Explorations in English to Turkish Statistical Machine Translation</Title>
  <Section position="7" start_page="12" end_page="12" type="concl">
    <SectionTitle>
6 Conclusions
</SectionTitle>
    <Paragraph position="0"> We have presented the results of our initial explorations into statistical machine translation from English to Turkish. Using a relatively small parallel corpus of about 22,500 sentences, we have experimented with a baseline word-to-word translation model using the Pharaoh decoder. We have also experimented with a morphemic representation of the parallel texts and have aligned the sentences at the morpheme level. The decoder in this cases produces root word and morpheme sequences which are then selectively concatenated into surface words by possibly ignoring some morphemes which are redundant or wrong. We have also attempted a simple grouping of root words and morphemes to both help the alignment by reducing the number of tokens in the sentences and by already identifying some possible phrases. This grouping of morphemes and the use of selective morpheme concatenation in producing surface words has increased the BLEU score for our test set from 0.0752 to 0.0913. Current ongoing work involves increasing the parallel corpus size and the development of bag-of-morphemes modeling approach to translation to separate the sentence level word sequencing from word-internal morpheme sequencing.</Paragraph>
  </Section>
class="xml-element"></Paper>