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<Paper uid="W06-1205">
  <Title>Detecting Complex Predicates in Hindi using POS Projection across Parallel Corpora</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> A &amp;quot;pain in the neck&amp;quot; (Sag et al., 2002) for NLP in languages of the Indo-Aryan family (e.g. Hindi-Urdu, Bangla and Kashmiri) is the fact that most verbs (nearly half of all instances in Hindi) occur as complex predicates - multi-word complexes which function as a single verbal unit in terms of argument and event structure (Hook, 1993; Butt and Geuder, 2003; Raina and Mukerjee, 2005). Moreover, most of these languages being resource-poor, even a proper corpus-based characterization of such CPs has remained an elusive goal.</Paragraph>
    <Paragraph position="1"> In this paper we construct the first corpus-based lexicon of CPs in Hindi based on projecting POS tags across parallel English-Hindi corpora. While such approaches sometimes leave out some CPs, the ones that are identified are seen to be quite robust. As a result, this appears to be a good first approach for identifying the majority of CPs along with usage data. Moreover, since the language specific input in the procedure is minimal, it can be easily extended to other languages with similar multi word expressions.</Paragraph>
  </Section>
class="xml-element"></Paper>