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The language demographics of Amazon Mechanical Turk
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In: https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/viewFile/262/34/ (2014)
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The language demographics of Amazon Mechanical Turk. Transactions of the Association for Computational Linguistics
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In: http://www.seas.upenn.edu/%7Eepavlick/papers/language_demographics_mturk.pdf (2014)
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The language demographics of Amazon Mechanical Turk. Transactions of the Association for Computational Linguistics
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In: http://www.cis.upenn.edu/~ccb/publications/language-demographics-of-mechanical-turk.pdf (2014)
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PPDB: The paraphrase database
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In: http://aclweb.org/anthology-new/N/N13/N13-1092.pdf (2013)
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Dirt cheap web-scale parallel text from the common crawl
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In: http://wing.comp.nus.edu.sg/~antho/P/P13/P13-1135.pdf (2013)
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Dirt cheap web-scale parallel text from the common crawl
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In: http://www.cs.jhu.edu/~alopez/papers/acl2013-smith+etal.pdf (2013)
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Toward statistical machine translation without parallel corpora
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In: http://www.cs.jhu.edu/~anni/papers/lowresmt/lowresmt.pdf (2012)
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Toward statistical machine translation without parallel corpora
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In: http://people.mmci.uni-saarland.de/~aklement/publications/eacl12mt.pdf (2012)
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Constructing parallel corpora for six indian languages via crowdsourcing
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In: http://www.aclweb.org/anthology/W12-3152/ (2012)
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Arabic dialect identification
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In: http://www.aclweb.org/anthology/J/J14/J14-1006.pdf (2012)
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Machine translation of arabic dialects
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In: http://www.aclweb.org/anthology-new/N/N12/N12-1006.pdf (2012)
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Learning sentential paraphrases from bilingual parallel corpora for text-to-text generation
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In: http://www.cs.jhu.edu/~ccb/publications/learning-sentential-paraprhases-from-bilingual-parallel-corpora.pdf (2011)
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Abstract:
Previous work has shown that high quality phrasal paraphrases can be extracted from bilingual parallel corpora. However, it is not clear whether bitexts are an appropriate resource for extracting more sophisticated sentential paraphrases, which are more obviously learnable from monolingual parallel corpora. We extend bilingual paraphrase extraction to syntactic paraphrases and demonstrate its ability to learn a variety of general paraphrastic transformations, including passivization, dative shift, topicalization, etc. We discuss how our model can be adapted to many text generation tasks, by augmenting its feature set, development data and parameter estimation routine. We illustrate this adaptation by using our paraphrase model for the task of sentence compression and achieve results that improve on state-of-the-art compression systems. 1
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URL: http://www.cs.jhu.edu/~ccb/publications/learning-sentential-paraprhases-from-bilingual-parallel-corpora.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.380.9702
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Incremental syntactic language models for phrase-based translation
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In: http://wing.comp.nus.edu.sg/~antho/P/P11/P11-1063.pdf (2011)
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Incremental syntactic language models for phrase-based translation
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In: http://www.cis.upenn.edu/~ccb/publications/incremental-syntactic-language-models-for-phrase-based-translation.pdf (2011)
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Crowdsourcing Translation: Professional Quality from Non-Professionals
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In: http://cs.jhu.edu/%7Eozaidan/AOC/turk-trans_Zaidan-CCB_acl2011.pdf (2011)
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Paraphrastic sentence compression with a character-based metric: Tightening without deletion
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In: http://www-csli.stanford.edu/%7Eccb/publications/paraphrastic-sentence-compression.pdf (2011)
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Paraphrastic sentence compression with a character-based metric: Tightening without deletion
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In: http://aclweb.org/anthology-new/W/W11/W11-1610.pdf (2011)
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at
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In: http://www-csli.stanford.edu/~ccb/publications/hiero-grammar-extraction-with-suffix-arrays.pdf (2010)
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Bilingual Lexicon Induction for Low-resource Languages
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In: http://hltcoe.files.wordpress.com/2011/09/tr5bilinguallexicalinduction.pdf (2010)
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Moving Beyond Phrase Pairs: The Relevance of the Corpus in a SMT World
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In: http://www.cs.cmu.edu/%7Eaphillip/publications/proposal.pdf (2010)
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