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dc.date.accessioned | 2019-01-22T20:39:38Z | |
dc.date.available | 2019-01-22T20:39:38Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 1012-1587 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/148178 | |
dc.description.abstract | © 2019, Universidad del Zulia. All rights reserved. The article deals with the question of multidimensionality and complexity of creating a model assessing the linguistic vitality. A comparative analysis of the existing models corresponding to the sociolinguistic paradigm is presented. The problems and difficulties associated with machine data processing are considered. As a result, risks of future language losses are especially high in the tropics and in the Himalayas, as these regions harbor many small-population languages and are undergoing rapid economic growth. In conclusion, Machine data processing and machine learning are the most important stages of processing the actual base of language behavior. | |
dc.relation.ispartofseries | Opcion | |
dc.subject | Indicators | |
dc.subject | Language vitality | |
dc.subject | Living abilities | |
dc.title | Assessing language vitality: Overview of exisiting models | |
dc.type | Article | |
dc.relation.ispartofseries-issue | Special Issue 17 | |
dc.relation.ispartofseries-volume | 34 | |
dc.collection | Публикации сотрудников КФУ | |
dc.relation.startpage | 773 | |
dc.source.id | SCOPUS10121587-2018-34-17-SID85059527713 |