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1
American cultural regions mapped through the linguistic analysis of social media
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2
Capturing the diversity of multilingual societies
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3
Capturing the diversity of multilingual societies
Louf, Thomas; Sánchez, David; Ramasco, José J.. - : American Physical Society, 2021
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4
Bilingual societies: from data to agent-based modeling
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5
Capturing the diversity of multilingual societies ...
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6
Anonymisation Models for Text Data: State of the art, Challenges and Future Directions ...
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7
Enhancing Learner Motivation and Classroom Social Climate: A Mixed Methods Approach
In: Int J Environ Res Public Health (2020)
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8
Mapping the Americanization of English in space and time
Gonçalves, Bruno; Loureiro-Porto, Lucía; Ramasco, José J.. - : Public Library of Science, 2018
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9
Dialectometric analysis of language variation in Twitter
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10
Dialectometric analysis of language variation in Twitter ...
Donoso, Gonzalo; Sanchez, David. - : arXiv, 2017
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11
Learning about Spanish dialects through Twitter
Sánchez, David; Gonçalves, Bruno. - : Iberoamericana/Vervuert, 2016
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12
Privacy-driven Access Control in Social Networks by Means of Automatic Semantic Annotation ...
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13
Methodology for automatic bioacoustic classification of anurans based on feature fusion
In: Expert Systems With Applications[ISSN 0957-4174],v. 50, p. 100-106 (2016)
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14
Learning about Spanish dialects through Twitter ...
Abstract: This paper maps the large-scale variation of the Spanish language by employing a corpus based on geographically tagged Twitter messages. Lexical dialects are extracted from an analysis of variants of tens of concepts. The resulting maps show linguistic variation on an unprecedented scale across the globe. We discuss the properties of the main dialects within a machine learning approach and find that varieties spoken in urban areas have an international character in contrast to country areas where dialects show a more regional uniformity. ... : 16 pages, 5 figures, 1 table ...
Keyword: Applications stat.AP; Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences; FOS Physical sciences; Machine Learning stat.ML; Physics and Society physics.soc-ph
URL: https://dx.doi.org/10.48550/arxiv.1511.04970
https://arxiv.org/abs/1511.04970
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15
Wartime children, the syrian case: la realidad social a través de CLIL y TBL
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16
An information theoretic approach to improve semantic similarity assessments across multiple ontologies
In: Information sciences. - New York, NY : Elsevier Science Inc. 283 (2014), 197-210
OLC Linguistik
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17
Utility-preserving sanitization of semantically correlated terms in textual documents
In: Information sciences. - New York, NY : Elsevier Science Inc. 279 (2014), 77-93
OLC Linguistik
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18
A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain
In: ISSN: 1532-0464 ; EISSN: 1532-0480 ; Journal of Biomedical Informatics ; https://hal.archives-ouvertes.fr/hal-01059534 ; Journal of Biomedical Informatics, Elsevier, 2014, 48, pp.38-53. ⟨10.1016/j.jbi.2013.11.006⟩ (2014)
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19
Crowdsourcing dialect characterization through twitter
Gonçalves, Bruno; Sánchez, David. - : Public Library of Science, 2014
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20
Crowdsourcing Dialect Characterization through Twitter
In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal-amu.archives-ouvertes.fr/hal-01242109 ; PLoS ONE, Public Library of Science, 2014, 9 (e112074 ), ⟨10.1371/journal.pone.0112074⟩ (2014)
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