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1
Mark my words! Linguistic style accommodation in social media
In: http://www.cs.cornell.edu/~cristian/papers/accommodation.pdf (2011)
Abstract: The psycholinguistic theory of communication accommodation accounts for the general observation that participants in conversations tend to converge to one another’s communicative behavior: they coordinate in a variety of dimensions including choice of words, syntax, utterance length, pitch and gestures. In its almost forty years of existence, this theory has been empirically supported exclusively through smallscale or controlled laboratory studies. Here we address this phenomenon in the context of Twitter conversations. Undoubtedly, this setting is unlike any other in which accommodation was observed and, thus, challenging to the theory. Its novelty comes not only from its size, but also from the non real-time nature of conversations, from the 140 character length restriction, from the wide variety of social relation types, and from a design that was initially not geared towards conversation at all. Given such constraints, it is not clear a priori whether accommodation is robust enough to occur given the constraints of this new environment. To investigate this, we develop a probabilistic framework that can model accommodation and measure its effects. We apply it to a large Twitter conversational dataset specifically developed for this task. This is the first time the hypothesis of linguistic style accommodation has been examined (and verified) in a large scale, real world setting. Furthermore, when investigating concepts such as stylistic influence and symmetry of accommodation, we discover a complexity of the phenomenon which was never observed before. We also explore the potential relation between stylistic influence and network features commonly associated with social status.
Keyword: Categories and Subject Descriptors; Experimentation; J.4 [Computer Applications; linguistic convergence; linguistic style accommodation; Measurement; Social and behavioral sciences General Terms; social media; Theory Keywords; Twitter conversations
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.366.4360
http://www.cs.cornell.edu/~cristian/papers/accommodation.pdf
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2
Using mostly native data to correct errors in learners’ writing
In: http://research.microsoft.com/pubs/132140/ESLA_cameraReady_final.pdf (2010)
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3
Using Mostly Native Data to Correct Errors in Learners’ Writing: a MetaClassifier Approach. Human Language Technologies: The 2010
In: http://www.aclweb.org/anthology/N/N10/N10-1019.pdf (2010)
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4
Correcting ESL errors using phrasal smt techniques
In: http://www.mt-archive.info/Coling-ACL-2006-Brockett.pdf (2006)
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5
Correcting ESL errors using phrasal smt techniques
In: http://acl.ldc.upenn.edu/P/P06/P06-1032.pdf (2006)
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6
Sentencelevel mt evaluation without reference translations: beyond language modeling
In: http://www.mt-archive.info/EAMT-2005-Gamon.pdf (2005)
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7
2003) French Amalgam: A machine-learned sentence realization system
In: http://sites.univ-provence.fr/veronis/Atala/TALN/pdf/smets.pdf (2005)
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8
Sentence-level MT Evaluation Without Reference Translations: Beyond Language Modeling
In: http://research.microsoft.com/~anthaue/eamt05_mt_Eval.pdf (2005)
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9
Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis
In: http://acl.ldc.upenn.edu/coling2004/MAIN/pdf/121-637.pdf (2005)
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10
Linguistically informed statistical models of constituent structure for ordering in sentence realization
In: http://www.aclweb.org/anthology-new/C/C04/C04-1097.pdf (2004)
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11
Linguistically informed statistical models of constituent structure for ordering in sentence realization
In: http://www.mt-archive.info/Coling-2004-Ringger.pdf (2004)
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12
Linguistic correlates of style: authorship classification with deep linguistic analysis features
In: http://research.microsoft.com/nlp/publications/coling2004_authorship.pdf (2004)
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13
Combining decision trees and transformationbased learning to correct transferred linguistic representations
In: http://www.mt-archive.info/MTS-2003-Corston.pdf (2003)
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14
Machinelearned contexts for linguistic operations in German sentence realization
In: http://research.microsoft.com/pubs/68881/acl02_mlcontext.pdf (2002)
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15
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
In: http://acl.ldc.upenn.edu/P/P02/P02-1004.pdf (2002)
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16
Intra-sentence punctuation insertion in natural language generation
In: ftp://ftp.research.microsoft.com/pub/tr/tr-2002-58.pdf (2002)
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17
Using Machine Learning for System-Internal Evaluation of Transferred Linguistic Representations
In: http://research.microsoft.com/nlp/publications/lfeval.pdf (2001)
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18
Using Machine Learning for System-Internal Evaluation of Transferred Linguistic Representations
In: http://www.mt-archive.info/MTS-2001-Gamon.pdf (2001)
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19
Using Machine Learning for System-Internal Evaluation of Transferred Linguistic Representations
In: http://www.eamt.org/events/summitVIII/papers/gamon.pdf (2001)
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20
Practical Experience with Grammar Sharing in Multilingual NLP
In: http://acl.ldc.upenn.edu/W/W97/W97-0908.pdf (1997)
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