mtjournal.bib

% This file was created with JabRef 2.3.1.
% Encoding: ISO8859_1

@STRING{CL = {Computational Linguistics}}

@STRING{csl = {Computer Speech and Language}}

@STRING{CSL = {Computer Speech and Language}}

@STRING{es = {Proc. Eurospeech}}

@STRING{eurospeech = {Proc. Eurospeech}}

@STRING{HLT2004 = {Proc.\ HLT-NAACL}}

@STRING{ICASSP = {Proc.\ ICASSP}}

@STRING{ICPhS = {Proc. International Congress of Phonetic Sciences}}

@STRING{icslp = {Proc.\ ICSLP}}

@STRING{IEEETransSpeech = {{IEEE} Transactions on Speech and Audio Processing}}

@STRING{JASA = {Journal of the Acoustical Society of America}}

@STRING{jasa = {Journal of the Acoustical Society of America}}

@STRING{LangCogProc = {Language and Cognitive Processes}}

@STRING{naacl2 = {Proc.\ 2nd NAACL}}

@STRING{ProcACL = {Proc.\ ACL}}

@STRING{ProcHLT = {Proc.\ HLT}}

@STRING{ProcHLTNAACL = {Proc. HLT-NAACL}}

@STRING{ProcNAACL = {Proc. NAACL}}
@STRING{ProcEACL = {Proc. EACL}}
@STRING{ProcMTEval = {Proc. ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for {MT} and/or Summarization}}

@STRING{TMI:04 = {Proceedings of the 10th {I}nternational {C}onference on {T}heoretical
	and {M}ethodological {I}ssues in {M}achine {T}ranslation}}

@string{MetricsMATR = {{MetricsMATR}: {NIST} Metrics for Machine Translation Challenge}}


@InProceedings{kahn08metricsmatr,
  author = 	 {Jeremy G. Kahn and Brian Roark and Mari Ostendorf},
  title = 	 {Automatic Syntactic {MT} Evaluation with Expected Dependency
  Pair Match},
  booktitle = MetricsMATR,
  publisher = "{NIST}",
  year = 	 2008,
}

@inproceedings{charniak03syntaxlmmt,
  abstract =	 {We present a syntax-based language model for use in
                  noisy-channel machine translation. In particular, a
                  language model based upon that described in (Cha01)
                  is combined with the syntax based translation-model
                  described in (YK01). The resulting system was used
                  to translate 347 sentences from Chinese to English
                  and compared with the results of an
                  IBM-model-4-based system, as well as that of (YK02),
                  all trained on the same data. The translations were
                  sorted into four groups: good/bad syntax crossed
                  with good/bad meaning. While the total number of
                  translations that preserved meaning were the same
                  for (YK02) and the syntax-based system (and both
                  higher than the IBM-model-4-based system), the
                  syntax based system had 45\% more translations that
                  also had good syntax than did (YK02) (and
                  approximately 70\% more than IBM Model 4). The
                  number of translations that did not preserve
                  meaning, but at least had good grammar, also
                  increased, though to less avail.},
  author =	 {Charniak, Eugene and Knight, Kevin and Yamada, Kenji
                  },
  booktitle =	 {Proceedings MT Summit IX},
  citeulike-article-id ={2945993},
  keywords =	 {evaluation, mt, syntax},
  posted-at =	 {2008-06-30 23:20:07},
  priority =	 {2},
  title =	 {Syntax-based Language Models for Statistical Machine
                  Translation},
  url =
                  {http://www.amtaweb.org/summit/MTSummit/FinalPapers/21-Charniak-final.pdf},
  year =	 {2003}
}

	
@inproceedings{callisonburch06bleuproblems,
  abstract =	 {We argue that the machine translation community is
                  overly reliant on the Bleu machine translation
                  evaluation metric. We show that an improved Bleu
                  score is neither necessary nor sufficient for
                  achieving an actual improvement in translation
                  quality, and give two significant counterexamples to
                  Bleu’s correlation with human judgments of
                  quality. This offers new potential for research
                  which was previously deemed unpromising by an
                  inability to improve upon Bleu scores.},
  author =	 {Callison-Burch, Chris },
  booktitle =	 ProcEACL,
  citeulike-article-id ={2945969},
  keywords =	 {evaluation, mt},
  pages =	 {249--256},
  posted-at =	 {2008-06-30 23:08:26},
  priority =	 {2},
  title =	 {Re-evaluating the Role of {BLEU} in Machine
                  Translation Research},
  url =
                  {http://www.aclweb.org/anthology-new/E/E06/E06-1032.pdf},
  year =	 {2006}
}

	
@inproceedings{och03mert,
  abstract =	 {Often, the training procedure for statistical
                  machine translation models is based on maximum
                  likelihood or related criteria. A general problem of
                  this approach is that there is only a loose relation
                  to the final translation quality on unseen text. In
                  this paper, we analyze various training criteria
                  which directly optimize translation quality.  These
                  training criteria make use of recently proposed
                  automatic evaluation metrics.  We describe a new
                  algorithm for efficient training an unsmoothed error
                  count.  We show that significantly better results
                  can often be obtained if the final evaluation
                  criterion is taken directly into account as part of
                  the training procedure.},
  author =	 {Och, Franz J. },
  booktitle =	 ProcACL,
  citeulike-article-id ={2945910},
  keywords =	 {mt, reranking},
  posted-at =	 {2008-06-30 22:29:03},
  priority =	 {2},
  title =	 {Minimum Error Rate Training in Statistical Machine
                  Translation},
  url =
                  {http://www.aclweb.org/anthology-new/P/P03/P03-1021.pdf},
  year =	 {2003}
}

	
@INPROCEEDINGS{black91parseval,
  author = {E. Black and S. Abney and D. Flickenger and C. Gdaniec and R. Grishman
	and P. Harrison and D. Hindle and R. Ingria and F. Jelinek and J.
	Klavans and M. Liberman and M. Marcus and S. Roukos and B. Santorini
	and T. Strzalkowski},
  title = {A procedure for quantitatively comparing syntactic coverage of {E}nglish
	grammars},
  booktitle = {Proc. 4th DARPA Speech \& Natural Lang. Workshop},
  year = {1991},
  pages = {306-311},
  owner = {jgk},
  timestamp = {2008.06.17}
}

@inproceedings{magerman95headfinding,
	author = {Magerman, David  M. },
	booktitle = ProcACL,
	citeulike-article-id = {2940424},
	keywords = {syntax},
	pages = {276--283},
	posted-at = {2008-06-29 01:07:41},
	priority = {2},
	title = {Statistical Decision-Tree Models for Parsing},
	url = {http://www.aclweb.org/anthology-new/P/P95/P95-1037.pdf},
	year = {1995}
}
@inproceedings{banerjee05meteor,
  author =	 {Banerjee, Satanjeev and Lavie, Alon },
  booktitle =	 ProcMTEval,
  citeulike-article-id =2946044,
  keywords =	 {alignment, evaluation, mt},
  pages =	 {65--72},
  posted-at =	 {2008-06-30 23:54:29},
  priority =	 2,
  title =	 {{METEOR}: An Automatic Metric for {MT} Evaluation
                  with Improved Correlation with Human Judgments},
  url =
                  {http://www.aclweb.org/anthology-new/W/W05/W05-0909.bib},
  year =	 2005
}
%  address =	 {Ann Arbor, Michigan},
%  month =	 {June},
%  publisher =	 {Association for Computational Linguistics},

	

@INPROCEEDINGS{charniak-johnson:2005:ACL,
  author = {Charniak, Eugene and Johnson, Mark},
  title = {Coarse-to-Fine $n$-Best Parsing and {M}ax{E}nt Discriminative Reranking},
  booktitle = ProcACL,
  year = {2005},
  pages = {173--180},
  owner = {jgk},
  timestamp = {2008.06.17},
  url = {http://www.aclweb.org/anthology/P/P05/P05-1022}
}
%  address = {Ann Arbor, Michigan},
%  month = {June},
%  publisher = {Association for Computational Linguistics},

@inproceedings{cahill04lfg,
  author =	 {Cahill, Aoife and Burke, Michael and O'Donovan, Ruth
                  and Van Genabith, Josef and Way, Andy },
  booktitle =	 ProcACL,
  citeulike-article-id ={2942466},
  comment =	 {This is the parser used in Owczarzak 07 AFAICT.
                  Need to figure out whether it's got probability
                  weights.},
  keywords =	 {machine-learning, syntax},
  pages =	 {319--326},
  posted-at =	 {2008-06-30 02:00:36},
  priority =	 {2},
  title =	 {Long-Distance Dependency Resolution in Automatically
                  Acquired Wide-Coverage {PCFG}-Based {LFG}
                  Approximations},
  url =          {http://www.aclweb.org/anthology-new/P/P04/P04-1041.bib},
  year =	 2004
}
%  address =	 {Barcelona, Spain},
%  month =	 {July},

	

@Misc{LDC03MTC2,
  author = 	 {LDC},
  title = 	 {Multiple Translation {C}hinese corpus, part 2},
  year = 	 2003,
  note = 	 {Catalog number {LDC2003T17}.}}
@Misc{LDC06MTC4,
  author = 	 {LDC},
  title = 	 {Multiple Translation {C}hinese corpus, part 4},
  year = 	 2006,
  note = 	 {Catalog number {LDC2006T04}.}}

@INPROCEEDINGS{doddington02nist,
  author = {George Doddington},
  title = {Automatic evaluation of machine translation quality using n-gram
	co-occurrence statistics},
  booktitle = ProcHLT,
  year = {2002},
  pages = {138--145},
}
%  address = {San Francisco, CA, USA},
%  publisher = {Morgan Kaufmann Publishers Inc.},
%  location = {San Diego, California}

@INPROCEEDINGS{liu05syntaxformteval,
  author = {Liu, Ding and Gildea, Daniel},
  title = {Syntactic Features for Evaluation of Machine Translation},
  booktitle = ProcMTEval,
  year = 2005,
  pages = {25--32},
  file = {Liu & Gildea - syntax features for MT eval:liu05syntaxformteval.pdf:PDF},
  keywords = {features, evaluation},
  owner = {jgk},
  timestamp = {2008.06.17}
}
%  address = {Ann Arbor, Michigan},
%  month = {June},
%  publisher = {Association for Computational Linguistics},


@Misc{gale08phase2_5references,
  author =	 {LDC},
  title =	 {{GALE} Phase 2 + Retest Evaluation References},
  year =	 2008,
  note =	 {Catalog number {LDC2008E11}}}

@MISC{darpa08gale,
  author =	 {{DARPA}},
  title =	 {{G}lobal {A}utonomous {L}anguage {E}xploitation
                  ({GALE})},
  howpublished = {Mission,
                  \url{http://www.darpa.mil/ipto/programs/gale/gale.asp}},
  year = 2008,
}

@MISC{olive06gale,
  author = {Joseph P. Olive},
  title = {{G}lobal {A}utonomous {L}anguage {E}xploitation ({GALE})},
  howpublished = {Proposer Information Pamphlet, \url{http://www.darpa.mil/ipto/solicitations/closed/05-28_PIP.htm}},
  month = mar,
  year = 2006,
  owner = {jgk},
  timestamp = {2008.06.17}
}



@Article{owczarzak07evaluatingmt,
  author =	 {Karolina Owczarzak and Josef van Genabith and Andy
                  Way},
  title =	 {Evaluating machine translation with {LFG}
                  dependencies},
  journal =	 {Machine Translation},
  year =	 2007,
  volume =	 21,
  number =	 2,
  pages =	 {95--119},
  month =	 jun,
}
  % doi: 10.1007/s10590-008-9038-1

@INPROCEEDINGS{owczarzak07labelleddepseval,
  author = {Owczarzak, Karolina and van Genabith, Josef and Way, Andy},
  title = {Labelled Dependencies in Machine Translation Evaluation},
  booktitle = {Proceedings of the Second Workshop on Statistical Machine Translation},
  year = {2007},
  pages = {104--111},
  file = {owczarzak07labelleddepseval.pdf:owczarzak07labelleddepseval.pdf:PDF},
  keywords = {evaluation, dependency},
  owner = {jgk},
  timestamp = {2008.06.17},
  url = {http://www.aclweb.org/anthology/W/W07/W07-0214}
}
%  address = {Prague, Czech Republic},
%  month = {June},
%  publisher = {Association for Computational Linguistics},


@INPROCEEDINGS{papineni02bleu,
  author = {Kishore Papineni and Salim Roukos and Todd Ward and Wei-Jing Zhu},
  title = {{BLEU}: a Method for Automatic Evaluation of Machine Translation},
  booktitle = {Proceedings ACL},
  year = {2002},
  pages = {311--318},
  owner = {jgk},
  timestamp = {2008.06.18},
  url = {http://www.aclweb.org/anthology/P02-1040.pdf}
}

@INPROCEEDINGS{roark06:sparseval,
  author = {Brian Roark and Mary Harper and Eugene Charniak and Bonnie Dorr and
	Mark Johnson and Jeremy G. Kahn and Yang Liu and Mari Ostendorf and
	John Hale and Anna Krasnyanskaya and Matthew Lease and Izhak Shafran
	and Matthew Snover and Robin Stewart and Lisa Yung},
  title = {{SParseval}: Evaluation Metrics for Parsing Speech},
  booktitle = {Proceedings LREC},
  year = {2006},
  owner = {jgk},
  timestamp = {2008.06.17}
}

@MISC{sekine97evalb,
  author = {Satoshi Sekine and Michael Collins},
  title = {{EVALB}},
  year = {1997},
  note = {As in Collins ACL 1997; {\tt http://nlp.cs.nyu.edu/evalb/}},
  url = {http://nlp.cs.nyu.edu/evalb/}
}

@MISC{snover07tercom,
  author = {Matthew Snover},
  title = {{TER} {COMpute} {J}ava code v.\ 0.7},
  howpublished = {\url{http://www.cs.umd.edu/~snover/tercom/}},
  month = mar,
  year = {2007},
  owner = {jgk},
  timestamp = {2008.06.18}
}

@INPROCEEDINGS{snover06ter,
  author = {Matthew Snover and Bonnie Dorr and Richard Schwartz and Linnea Micciulla
	and John Makhoul},
  title = {A Study of Translation Edit Rate with Targeted Human Annotation},
  booktitle = {Proceedings AMTA},
  year = {2006},
  owner = {jgk},
  timestamp = {2008.06.18}
}

@InProceedings{huang08packedforests,
  author    = {Huang, Liang},
  title     = {Forest Reranking: Discriminative Parsing with Non-Local Features},
  booktitle = {Proceedings of ACL-08: HLT},
  month     = {June},
  year      = {2008},
  publisher = {Association for Computational Linguistics},
  pages     = {586--594},
  url       = {http://www.aclweb.org/anthology/P/P08/P08-1067}
}



@INPROCEEDINGS{snover09terp,
  author = {Matthew Snover and  Nitin Madnani and  Bonnie Dorr and Richard Schwartz},
  title = "Fluency, Adequacy, or {HTER}? Exploring Different Human Judgments with a Tunable {MT} Metric",
  booktitle="Proceedings of the Workshop on Statistical Machine Translation at EACL",
  month= mar,
  year={2009}
}