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Neural machine Translation

Statistical Machine Translation

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Word Alignment

Word alignment remains a fundamental problem for statistical machine translation — all current approaches use word alignments at some point during training or in feature functions.

Word Alignment and its 7 sub-topics are the main subject of 188 publications.

Publications

Benchmarks

Two evaluation campaigns on word alignment have been staged (Mihalcea and Pedersen, 2003; Martin et al., 2005).

Discussion

New Publications

  • Pourdamghani et al. (2018)
  • Kamigaito et al. (2014)
  • Nomura et al. (2015)
  • Schulz et al. (2016)
  • Cuong and Sima'an (2015)
  • Ding et al. (2015)
  • Shen et al. (2015)
  • Wang et al. (2015)
  • Li et al. (2013)
  • Östling (2014)
  • Yung et al. (2014)
  • Songyot and Chiang (2014)
  • Wang et al. (2013)
  • Chang et al. (2014)
  • Kočiský et al. (2014)
  • Lardilleux et al. (2013)
  • Graça et al. (2010)
  • Chu et al. (2011)
  • Lardilleux et al. (2013)
  • Aswani and Gaizauskas (2005)
  • Langlais et al. (2005)
  • Schafer and Drábek (2005)
  • Aymerich and Camelo (2007)
  • Xi et al. (2012)
  • Navlea and Todiraşfcu (2011)
  • McCarley et al. (2011)
  • Wu and Xia (1994)
  • McInnes and Pedersen (2003)
  • Tufiş et al. (2003)
  • Kobdani et al. (2009)
  • Lambert et al. (2009)
  • Gao et al. (2010)
  • Ma and Way (2010)
  • Saers et al. (2010)
  • Huang et al. (2010)
  • Ambati et al. (2010)
  • Lin and Bilmes (2011)
  • Mermer and Saraclar (2011)

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