Improving MT word alignment using aligned multi-stage parses

  • Authors:
  • Adam Meyers;Michiko Kosaka;Shasha Liao;Nianwen Xue

  • Affiliations:
  • New York University;Monmouth University;New York University;Brandeis University

  • Venue:
  • SSST-5 Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation
  • Year:
  • 2011

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Abstract

We use hand-coded rules and graph-aligned logical dependencies to reorder English text towards Chinese word order. We obtain a 1.5% higher F-score for Giza++ compared to running with unprocessed text. We describe this research and its implications for SMT.