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1
Cross-Lingual Bridges with Models of Lexical Borrowing
In: http://www.cs.cmu.edu/%7Eytsvetko/papers/loanwords-jair.pdf (2016)
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2
Weakly-supervised grammar-informed Bayesian CCG parser learning
In: http://www.dhgarrette.com/papers/garrette_dyer_baldridge_smith_aaai2015.pdf (2015)
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3
Learning word representations with hierarchical sparse coding
In: http://proceedings.mlr.press/v37/yogatama15.pdf (2015)
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4
Cross-Lingual Bridges with Models of Lexical Borrowing
In: http://demo.clab.cs.cmu.edu/cdyer/loanwords-jair.pdf (2015)
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5
Discriminative lexical semantic segmentation with gaps: Running the MWE gamut. Transactions of the Association for Computational Linguistics
In: https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/download/281/80/ (2014)
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6
Crowdsourcing high-quality parallel data extraction from Twitter
In: http://anthology.aclweb.org/W/W14/W14-3356.pdf (2014)
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7
A discriminative graph-based parser for the abstract meaning representation
In: http://aclweb.org/anthology/P/P14/P14-1134.pdf (2014)
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8
A discriminative graph-based parser for the abstract meaning representation.
In: http://acl2014.org/acl2014/P14-1/pdf/P14-1134.pdf (2014)
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9
Tree Transduction Tools for Cdec
In: Prague Bulletin of Mathematical Linguistics , Vol 102, Iss 1, Pp 27-36 (2014) (2014)
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10
Improved part-of-speech tagging for online conversational text with word clusters
In: http://aclweb.org/anthology/N/N13/N13-1039.pdf (2013)
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11
Improved part-of-speech tagging for online conversational text with word clusters
In: http://www.ark.cs.cmu.edu/TweetNLP/owoputi+etal.naacl13.pdf (2013)
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12
Improved part-of-speech tagging for online conversational text with word clusters
In: http://www.cs.cmu.edu/~nschneid/twpos-improved.pdf (2013)
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13
Improved part-of-speech tagging for online conversational text with word clusters
In: http://www.cs.cmu.edu/~nasmith/papers/owoputi+oconnor+dyer+gimpel+schneider+smith.naacl13.pdf (2013)
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14
Generating English determiners in phrase-based translation with synthetic translation options
In: http://wing.comp.nus.edu.sg/~antho/W/W13/W13-2234.pdf (2013)
Abstract: We propose a technique for improving the quality of phrase-based translation systems by creating synthetic translation options—phrasal translations that are generated by auxiliary translation and postediting processes—to augment the default phrase inventory learned from parallel data. We apply our technique to the problem of producing English determiners when translating from Russian and Czech, languages that lack definiteness morphemes. Our approach augments the English side of the phrase table using a classifier to predict where English articles might plausibly be added or removed, and then we decode as usual. Doing so, we obtain significant improvements in quality relative to a standard phrase-based baseline and to a to post-editing complete translations with the classifier. 1
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.396.9119
http://wing.comp.nus.edu.sg/~antho/W/W13/W13-2234.pdf
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15
Predicting a scientific community’s response to an article
In: http://aclweb.org/anthology-new/D/D11/D11-1055.pdf (2011)
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16
Context-free reordering, finitestate translation
In: http://www.aclweb.org/anthology/N/N10/N10-1128.pdf (2010)
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17
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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18
Using a maximum entropy model to build segmentation lattices for mt
In: http://www.mt-archive.info/NAACL-HLT-2009-Dyer.pdf (2009)
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19
Moses: Open source toolkit for statistical machine translation
In: http://www-csli.stanford.edu/~ccb/publications/moses-toolkit.pdf (2007)
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20
Moses: Open Source Toolkit for Statistical Machine Translation
In: http://www.mt-archive.info/ACL-2007-Koehn.pdf (2007)
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