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POS and Chunk Based Pre-Reordering

Reordering patterns over part-of-speech tags used in a pre-reordering stage are typically trained from aligned data.

POS Chunk Prereordering is the main subject of 18 publications.

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POS-based pre-reordering may convert the input sentence into a reordering graph (Crego and Mariño, 2006) or uses a rescoring approach with the patterns as features (Chen et al., 2006). The reordering rules may also be integrated into an otherwise monotone decoder (Tillmann, 2008). Such rules may also be used in a separate reordering model. Such rules may be based on automatic word classes (Costa-jussà and Fonollosa, 2006; Crego et al., 2006), which was shown to outperform part-of-speech tags (Costa-jussà and Fonollosa, 2007), or they may be based on syntactic chunks (Zhang et al., 2007; Zhang et al., 2007b; Crego and Habash, 2008). Scoring for rule applications may be encoded in the reordering graph, or done once the target word order is established which allows for rewarding reorderings that happened due to phrase-internal reordering (Elming, 2008; Elming, 2008b).

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New Publications

  • Li et al. (2013)
  • Bisazza et al. (2012)
  • Costa-jussà and Fonollosa (2008)
  • Wu et al. (2011)
  • Crego et al. (2005)
  • Stymne (2012)
  • Andreas et al. (2011)

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