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      • Department of Computer Engineering
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      Inducing translation templates with type constraints

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      Author
      Çiçekli, İlyas
      Date
      2005
      Source Title
      Machine Translation
      Print ISSN
      0922-6567
      Electronic ISSN
      1573-0573
      Publisher
      Springer
      Volume
      19
      Issue
      3-4
      Pages
      283 - 299
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      This paper presents a generalization technique that induces translation templates from a given set of translation examples by replacing differing parts in the examples with typed variables. Since the type of each variable is inferred during the learning process, each induced template is also associated with a set of type constraints. The type constraints that are associated with a translation template restrict the usage of the translation template in certain contexts in order to avoid some of the wrong translations. The types of variables are induced using type lattices designed for both the source and target languages. The proposed generalization technique has been implemented as a part of an example-based machine translation system.
      Keywords
      Example-based MT
      Machine learning
      Formal languages
      Learning systems
      Set theory
      Example-based MT
      Translation (languages)
      Permalink
      http://hdl.handle.net/11693/27300
      Published Version (Please cite this version)
      http://dx.doi.org/10.1007/s10590-006-9014-6
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      • Department of Computer Engineering 1368
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