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 |
|