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<Paper uid="W06-2003">
  <Title>Induction of Cross-Language Affix and Letter Sequence Correspondence</Title>
  <Section position="7" start_page="22" end_page="22" type="concl">
    <SectionTitle>
6 Discussion
</SectionTitle>
    <Paragraph position="0"> We have introduced the problem of cross-language modeling of word forms, presented an algorithm for addressing affixal morphology and letter sequences, and described good results on English-Spanish dictionary word pairs.</Paragraph>
    <Paragraph position="1"> Natural directions for future work on the model include: (1) test the algorithm on more language pairs, including languages utilizing non-Latin alphabets; (2) modify the input model to assume that single language affixes are known; (3) address additional morphological operators, such as templatic morphology; (4) address phonology directly instead of indirectly; (5) use pairs acquired from a parallel corpus rather than a dictionary, to address inflectional morphology and to see how the algorithm performs with more noisy data; (6) extend the algorithm to other types of writing systems; (7) examine more sophisticated affix discovery algorithms, such as (Goldsmith01); and (8) improve the evaluation methodology.</Paragraph>
    <Paragraph position="2"> There are many possible applications of the model: (1) for statistical machine translation; (2) for computational historical linguistics; (3) for CLIR back-transliteration; (4) for constructing learning materials and word memorization methods in second language education; and (5) for improving word form learning algorithms inside a single language.</Paragraph>
    <Paragraph position="3"> The length and diversity of the lists above provide an indication of the benefit and importance of cross-language word form modeling in computational linguistics and its application areas.</Paragraph>
  </Section>
class="xml-element"></Paper>