Eliciting Big Data From Small, Young, or Non-standard Languages: 10 Experimental Challenges
The aim of this work is to identify and analyze a set of challenges that are likely to be encountered when one embarks on fieldwork in linguistic communities that feature small, young, and/or non-standard languages with a goal to elicit big sets of rich data. For each challenge, we (i) explain its n...
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doaj-ab89e779598d4d268f1b9137975c1ae32020-11-24T21:40:44ZengFrontiers Media S.A.Frontiers in Psychology1664-10782019-02-011010.3389/fpsyg.2019.00313429300Eliciting Big Data From Small, Young, or Non-standard Languages: 10 Experimental ChallengesEvelina Leivada0Roberta D’Alessandro1Kleanthes K. Grohmann2Department of Language and Culture, UiT The Arctic University of Norway, Tromsø, NorwayUtrecht Institute of Linguistics, UiL-OTS, Utrecht University, Utrecht, NetherlandsDepartment of English Studies, University of Cyprus, Nicosia, CyprusThe aim of this work is to identify and analyze a set of challenges that are likely to be encountered when one embarks on fieldwork in linguistic communities that feature small, young, and/or non-standard languages with a goal to elicit big sets of rich data. For each challenge, we (i) explain its nature and implications, (ii) offer one or more examples of how it is manifested in actual linguistic communities, and (iii) where possible, offer recommendations for addressing it effectively. Our list of challenges involves static characteristics (e.g., absence of orthographic conventions and how it affects data collection), dynamic processes (e.g., speed of language change in small languages and how it affects longitudinal collection of big amounts of data), and interactive relations between non-dynamic features that are nevertheless subject to potentially rapid change (e.g., absence of standardized assessment tools or estimates for psycholinguistic variables). The identified challenges represent the domains of data collection and handling, participant recruitment, and experimental design. Among other issues, we discuss population limits and degree of power, inter- and intraspeaker variation, absence of metalanguage and its implications for the process of eliciting acceptability judgments, and challenges that arise from absence of local funding, conflicting regulations in relation to privacy issues, and exporting large samples of data across countries. Finally, the ten experimental challenges presented are relevant to languages from a broad typological spectrum, encompassing both spoken and sign, extant and nearly extinct languages.https://www.frontiersin.org/article/10.3389/fpsyg.2019.00313/fullfieldworkrich databig dataexperimental designdialectsign language |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Evelina Leivada Roberta D’Alessandro Kleanthes K. Grohmann |
spellingShingle |
Evelina Leivada Roberta D’Alessandro Kleanthes K. Grohmann Eliciting Big Data From Small, Young, or Non-standard Languages: 10 Experimental Challenges Frontiers in Psychology fieldwork rich data big data experimental design dialect sign language |
author_facet |
Evelina Leivada Roberta D’Alessandro Kleanthes K. Grohmann |
author_sort |
Evelina Leivada |
title |
Eliciting Big Data From Small, Young, or Non-standard Languages: 10 Experimental Challenges |
title_short |
Eliciting Big Data From Small, Young, or Non-standard Languages: 10 Experimental Challenges |
title_full |
Eliciting Big Data From Small, Young, or Non-standard Languages: 10 Experimental Challenges |
title_fullStr |
Eliciting Big Data From Small, Young, or Non-standard Languages: 10 Experimental Challenges |
title_full_unstemmed |
Eliciting Big Data From Small, Young, or Non-standard Languages: 10 Experimental Challenges |
title_sort |
eliciting big data from small, young, or non-standard languages: 10 experimental challenges |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychology |
issn |
1664-1078 |
publishDate |
2019-02-01 |
description |
The aim of this work is to identify and analyze a set of challenges that are likely to be encountered when one embarks on fieldwork in linguistic communities that feature small, young, and/or non-standard languages with a goal to elicit big sets of rich data. For each challenge, we (i) explain its nature and implications, (ii) offer one or more examples of how it is manifested in actual linguistic communities, and (iii) where possible, offer recommendations for addressing it effectively. Our list of challenges involves static characteristics (e.g., absence of orthographic conventions and how it affects data collection), dynamic processes (e.g., speed of language change in small languages and how it affects longitudinal collection of big amounts of data), and interactive relations between non-dynamic features that are nevertheless subject to potentially rapid change (e.g., absence of standardized assessment tools or estimates for psycholinguistic variables). The identified challenges represent the domains of data collection and handling, participant recruitment, and experimental design. Among other issues, we discuss population limits and degree of power, inter- and intraspeaker variation, absence of metalanguage and its implications for the process of eliciting acceptability judgments, and challenges that arise from absence of local funding, conflicting regulations in relation to privacy issues, and exporting large samples of data across countries. Finally, the ten experimental challenges presented are relevant to languages from a broad typological spectrum, encompassing both spoken and sign, extant and nearly extinct languages. |
topic |
fieldwork rich data big data experimental design dialect sign language |
url |
https://www.frontiersin.org/article/10.3389/fpsyg.2019.00313/full |
work_keys_str_mv |
AT evelinaleivada elicitingbigdatafromsmallyoungornonstandardlanguages10experimentalchallenges AT robertadalessandro elicitingbigdatafromsmallyoungornonstandardlanguages10experimentalchallenges AT kleantheskgrohmann elicitingbigdatafromsmallyoungornonstandardlanguages10experimentalchallenges |
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