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Talk. Daniele Pighin. Semantic Structures in Translation Ranking (2011/05/31)

Speaker: Daniele Pighin
          NLPRG, TALP
          Technical University of Catalonia, UPC
Date: May 31, 2011
Time: 11:30
Where: Computer Science Faculty, Room 3.2

   Automatic Projection of Semantic Structures:
      an Application to Pairwise Translation Ranking
The ability to automatically assess the quality of translation
hypotheses is a key requirement towards the development of accurate and
dependable translation models. While it is largely agreed that proper
transfer of predicate-argument structures from source to target is a
very strong indicator of translation quality, especially in relation to
adequacy, the incorporation of this kind of information in the
Statistical Machine Translation (SMT) evaluation pipeline is still
limited to few and isolated cases.

We present a model for the inclusion of semantic role annotations in the
framework of confidence estimation for machine translation. The model
has several interesting properties:
   1) it only requires a linguistic processor on the (generally
well-formed) source side of the translation;
   2) it does not directly rely on properties of the translation model
(hence, it can be applied beyond phrase-based systems);
   3) it is inherently extendable to cope with different kinds of
sequential annotations, e.g., POS tags.
These features make it potentially appealing for system ranking,
translation re-ranking and user feedback evaluation. Preliminary
experiments in pairwise hypothesis ranking on five confidence estimation
benchmarks show that the model has the potential to capture salient
aspects of translation quality.

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