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<Paper uid="H01-1035">
  <Title>Induced Morphological Analyses for CZECH Inflection Root Out Analysis TopBridge</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1. TASK OVERVIEW
</SectionTitle>
    <Paragraph position="0"> A fundamental roadblock to developing statistical taggers, bracketers and other analyzers for many of the world's 200+ major languages is the shortage or absence of annotated training data for the large majority of these languages. Ideally, one would like to lever. null [][ ]IN NNP NNP VBG VBG NNS NNSJJ JJ JJ HongIn Kong national law(s)implementing of  National laws applying in Hong Kong2 4 53[ [] ]JJ VBG IN NNP NNP0 1NNS un producteur important de petrole brut  age the large existing investments in annotated data and tools for resource-rich languages (such as English and Japanese) to overcome the annotated resource shortage in other languages. To show the broad potential of our approach and methods, this paper will investigate four fundamental language analysis tasks: POS tagging, base noun phrase (baseNP) bracketing, named entity tagging, and inflectional morphological analysis, as illustrated in Figures 1 and 2. These bedrock tools are important components of thea15 language analysis pipelines for many applications, and their low cost extension to new languages, as described here, can serve as a broadly useful enabling resource.</Paragraph>
  </Section>
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