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1
Using paraphrases for improving first story detection in news and twitter
In: http://homepages.inf.ed.ac.uk/miles/papers/naacl12.pdf (2012)
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2
Opinion retrieval in twitter
In: http://homepages.inf.ed.ac.uk/miles/papers/icwsm12.pdf (2012)
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3
Using paraphrases for improving first story detection in news and twitter
In: http://www.aclweb.org/anthology-new/N/N12/N12-1034.pdf (2012)
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4
Constructing parallel corpora for six indian languages via crowdsourcing
In: http://www.aclweb.org/anthology/W12-3152/ (2012)
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5
LRscore for evaluating lexical and reordering quality
In: http://aclweb.org/anthology-new/W/W10/W10-1749.pdf (2010)
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6
LRscore for evaluating lexical and reordering quality
In: http://www.mt-archive.info/WMT-2010-Birch.pdf (2010)
Abstract: The ability to measure the quality of word order in translations is an important goal for research in machine translation. Current machine translation metrics do not adequately measure the reordering performance of translation systems. We present a novel metric, the LRscore, which directly measures reordering success. The reordering component is balanced by a lexical metric. Capturing the two most important elements of translation success in a simple combined metric with only one parameter results in an intuitive, shallow, language independent metric. 1
URL: http://www.mt-archive.info/WMT-2010-Birch.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.323.9091
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7
A Gibbs sampler for phrasal synchronous grammar induction
In: http://nlp.csie.ncnu.edu.tw/~shin/acl-ijcnlp2009/proceedings/CDROM/ACLIJCNLP/pdf/ACLIJCNLP088.pdf (2009)
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8
Bayesian synchronous grammar induction
In: http://books.nips.cc/papers/files/nips21/NIPS2008_0238.pdf (2008)
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9
Modelling lexical redundancy for machine translation
In: http://www.mt-archive.info/Coling-ACL-2006-Talbot.pdf (2006)
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10
Modelling lexical redundancy for machine translation
In: http://acl.ldc.upenn.edu/P/P06/P06-1122.pdf (2006)
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11
Modelling lexical redundancy for machine translation
In: http://www.iccs.informatics.ed.ac.uk/~osborne/papers/acl06.pdf (2006)
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12
Constraining the phrase-based, joint probability statistical translation model
In: http://www.mt-archive.info/HLT-NAACL-2006-Birch.pdf (2006)
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13
Constraining the Phrase-Based, Joint Probability Statistical Translation Model
In: http://www.statmt.org/wmt06/proceedings/pdf/WMT23.pdf (2006)
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14
1 Statistical Natural Language Processing
In: http://www-csli.stanford.edu/~ccb/publications/statistical-natural-language-processing-chapter.pdf (2003)
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15
Statistical Natural Language Processing
In: http://www.cogsci.ed.ac.uk/~osborne/csli.pdf (2003)
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16
Using Language Models to Assist in the Correction of Machine Translation Output
In: http://www.ling.ed.ac.uk/teaching/postgrad/mscslp/archive/dissertations/2001-2/beatrice_alex.pdf (2002)
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17
Shallow Parsing with PoS Taggers and Linguistic Features
In: http://www.ai.mit.edu/projects/jmlr/papers/volume2/megyesi02a/megyesi02a.pdf (2002)
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18
Memory-Based Shallow Parsing
In: http://cnts.uia.ac.be/cnts/papers/./ps/20020417.4146.jmlr2002.ps (2002)
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19
Memory-based Shallow Parsing
In: http://jmlr.csail.mit.edu/papers/volume2/tks02a/tks02a.pdf (2002)
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20
Using Language Models to Assist in the Correction Of Machine Translation Output
In: http://www.cogsci.ed.ac.uk/~osborne/msc-projects/alex.ps.gz (2002)
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