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1
Representations of Language Varieties Are Reliable Given Corpus Similarity Measures
Dunn, Jonathan. - : Association for Computational Linguistics, 2021
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2
Dialectics of Sin: snokhachestvo Incest in Maxim Gorky's Fiction
Mondry H. - 2021
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3
Non-Professional Fijian Rugby Players’ Cultural Transitioning into New Zealand ; Non élite Fijian rugby players’ adaptation to New Zealand culture.
Light R; Carpenter K. - : Universidad de Valladolid, 2019
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4
Bilingual lexical modulation using positive and negative priming within and across languages
Neumann E. - 2019
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5
Multi-unit association measures: Moving beyond pairs of words
Dunn J. - 2019
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6
What Metaphor Identification Systems Can Tell Us About Metaphor-in-Language
Dunn J. - 2019
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7
Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar
Dunn J. - : Association for Computational Linguistics, 2019
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8
Measuring Metaphoricity
Dunn J. - 2019
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9
Positive and negative priming between languages in two bilingual groups
Neumann E; Nkrumah I. - 2019
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10
Multi-Dimensional Abstractness in Cross-Domain Mappings
Dunn J. - 2019
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11
Modeling the Complexity and Descriptive Adequacy of Construction Grammars
Dunn J. - 2019
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12
Global Syntactic Variation in Seven Languages: Towards a Computational Dialectology
Dunn J. - 2019
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13
Language-Independent Ensemble Approaches to Metaphor Identification
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14
How linguistic structure influences and helps to predict metaphoric meaning
Dunn J. - : Walter de Gruyter GmbH, 2019
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15
Modeling Global Syntactic Variation in English Using Dialect Classification
Dunn J. - : Association for Computational Linguistics, 2019
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16
Finding variants for construction-based dialectometry: A corpus-based approach to regional CxGs
Dunn J. - : Walter de Gruyter GmbH, 2019
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17
Mapping Languages and Demographics with Georeferenced Corpora
Abstract: This paper evaluates large georeferenced corpora, taken from both web-crawled and social media sources, against ground-truth population and language-census datasets. The goal is to determine (i) which dataset best represents population demographics; (ii) in what parts of the world the datasets are most representative of actual populations; and (iii) how to weight the datasets to provide more accurate representations of underlying populations. The paper finds that the two datasets represent very different populations and that they correlate with actual populations with values of r = 0.60 (social media) and r = 0.49 (web-crawled). Further, Twitter data makes better predictions about the inventory of languages used in each country.
Keyword: Communication and Culture::2004 - Linguistics::200402 - Computational Linguistics; communication and culture::4704 - Linguistics::470406 - Historical; comparative and typological linguistics; crowdsourcing; demographics; Field of Research::16 - Studies in Human Society::1603 - Demography::160399 - Demography not elsewhere classified; Field of Research::16 - Studies in Human Society::1604 - Human Geography::160403 - Social and Cultural Geography; Field of Research::20 - Language; Fields of Research::47 - Language; language; population; user-generated content
URL: http://hdl.handle.net/10092/17132
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18
Speech-language pathology student participation in verbal reflective practice groups: perceptions of development, value and group condition differences.
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19
LaBB-CAT: an Annotation Store
Fromont RA; Hay J. - 2018
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20
Language pedagogy and non-transience in the flipped classroom.
Cunningham UM. - 2017
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