An enriched MT grammar for under $100

Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, Mturk 2010 at the 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2010 - Proceedings

Volumn , Issue , 2010, Pages 93-98

  Zaidan, Omar F ^a   Ganitkevitch, Juri ^a  

^a Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMAZON'S MECHANICAL TURKS; GRAMMAR RULES; MACHINE TRANSLATION SYSTEMS; OUTPUT QUALITY; TEST SETS;

MACHINE TRANSLATION;

EID: 85121275610     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Kathy Baker, Steven Bethard, Michael Bloodgood, Ralf Brown, Chris Callison-Burch, Glen Coppersmith, Bonnie Dorr, Wes Filardo, Kendall Giles, Anni Irvine, Mike Kayser, Lori Levin, Justin Martineau, Jim May-field, Scott Miller, Aaron Phillips, Andrew Philpot, Christine Piatko, Lane Schwartz, and David Zajic. 2009. Semantically informed machine translation (SIMT). In SCALE 2009 Summer Workshop Final Report, pages 135-139.
2. Philipp Koehn, Hieu Hoang, Alexandra Birch Mayne, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondřej Bojar, Alexandra Constantin, and Evan Herbst. 2007. Moses: Open source toolkit for statistical machine translation. In Proc. of ACL, Demonstration Session, pages 177-180, June.
3. Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri Ganitkevitch, Sanjeev Khudanpur, Lane Schwartz, Wren N. G. Thornton, Jonathan Weese, and Omar F. Zaidan. 2009. Joshua: An open source toolkit for parsing-based machine translation. In Proc. of the Fourth Workshop on Statistical Machine Translation, pages 135-139.
4. Ashish Venugopal and Andreas Zollmann. 2006. Syntax augmented machine translation via chart parsing. In Proc. of the NAACL 2006 Workshop on Statistical Machine Translation, pages 138-141. Association for Computational Linguistics.
5. Omar F. Zaidan. 2009. Z-MERT: A fully configurable open source tool for minimum error rate training of machine translation systems. The Prague Bulletin of Mathematical Linguistics, 91:79-88.