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Mark my words! Linguistic style accommodation in social media
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In: http://www.cs.cornell.edu/~cristian/papers/accommodation.pdf (2011)
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Using mostly native data to correct errors in learners’ writing
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In: http://research.microsoft.com/pubs/132140/ESLA_cameraReady_final.pdf (2010)
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Using Mostly Native Data to Correct Errors in Learners’ Writing: a MetaClassifier Approach. Human Language Technologies: The 2010
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In: http://www.aclweb.org/anthology/N/N10/N10-1019.pdf (2010)
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Correcting ESL errors using phrasal smt techniques
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In: http://www.mt-archive.info/Coling-ACL-2006-Brockett.pdf (2006)
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Correcting ESL errors using phrasal smt techniques
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In: http://acl.ldc.upenn.edu/P/P06/P06-1032.pdf (2006)
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Sentencelevel mt evaluation without reference translations: beyond language modeling
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In: http://www.mt-archive.info/EAMT-2005-Gamon.pdf (2005)
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2003) French Amalgam: A machine-learned sentence realization system
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In: http://sites.univ-provence.fr/veronis/Atala/TALN/pdf/smets.pdf (2005)
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Sentence-level MT Evaluation Without Reference Translations: Beyond Language Modeling
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In: http://research.microsoft.com/~anthaue/eamt05_mt_Eval.pdf (2005)
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Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis
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In: http://acl.ldc.upenn.edu/coling2004/MAIN/pdf/121-637.pdf (2005)
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Linguistically informed statistical models of constituent structure for ordering in sentence realization
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In: http://www.aclweb.org/anthology-new/C/C04/C04-1097.pdf (2004)
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Linguistically informed statistical models of constituent structure for ordering in sentence realization
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In: http://www.mt-archive.info/Coling-2004-Ringger.pdf (2004)
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Linguistic correlates of style: authorship classification with deep linguistic analysis features
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In: http://research.microsoft.com/nlp/publications/coling2004_authorship.pdf (2004)
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Abstract:
The identification of authorship falls into the category of style classification, an interesting sub-field of text categorization that deals with properties of the form of linguistic expression as opposed to the content of a text. Various feature sets and classification methods have been proposed in the literature, geared towards abstracting away from the content of a text, and focusing on its stylistic properties. We demonstrate that in a realistically difficult authorship attribution scenario, deep linguistic analysis features such as context free production frequencies and semantic relationship frequencies achieve significant error reduction over more commonly used “shallow ” features such as function word frequencies and part of speech trigrams. Modern machine learning techniques like support vector machines allow us to explore large feature vectors, combining these different feature sets to achieve high classification accuracy in style-based tasks.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.133.8626 http://research.microsoft.com/nlp/publications/coling2004_authorship.pdf
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Combining decision trees and transformationbased learning to correct transferred linguistic representations
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In: http://www.mt-archive.info/MTS-2003-Corston.pdf (2003)
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Machinelearned contexts for linguistic operations in German sentence realization
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In: http://research.microsoft.com/pubs/68881/acl02_mlcontext.pdf (2002)
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Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), Philadelphia, July 2002, pp. 25-32. Machine-learned contexts for linguistic operations
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In: http://acl.ldc.upenn.edu/P/P02/P02-1004.pdf (2002)
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Intra-sentence punctuation insertion in natural language generation
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In: ftp://ftp.research.microsoft.com/pub/tr/tr-2002-58.pdf (2002)
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Using Machine Learning for System-Internal Evaluation of Transferred Linguistic Representations
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In: http://research.microsoft.com/nlp/publications/lfeval.pdf (2001)
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Using Machine Learning for System-Internal Evaluation of Transferred Linguistic Representations
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In: http://www.mt-archive.info/MTS-2001-Gamon.pdf (2001)
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Using Machine Learning for System-Internal Evaluation of Transferred Linguistic Representations
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In: http://www.eamt.org/events/summitVIII/papers/gamon.pdf (2001)
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Practical Experience with Grammar Sharing in Multilingual NLP
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In: http://acl.ldc.upenn.edu/W/W97/W97-0908.pdf (1997)
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