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dc.date.accessioned2021-01-24T01:46:12Z
dc.date.available2021-01-24T01:46:12Z
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/14657
dc.typegrantor
oapen.relation.funds6001abeb-8f11-447a-9082-d0be073c1208
oapen.relation.funds74fac8dd-71e4-4217-bc57-12d745524ca8
oapen.relation.funds4a527212-9a59-458a-b00b-880b3eb36ab1
oapen.relation.funds48793516-194d-408f-bf8d-c9ccb56098c2
oapen.relation.funds8cb99183-eda2-4113-a719-20638304ae91
oapen.relation.funds1bd51afc-c21d-46dd-95dc-d82a67894ffc
oapen.relation.funds8f534984-f775-45de-8897-1166cc7ffa05
grantor.nameGrantová Agentura České Republiky
grantor.acronymGrant Agency of the Czech Republic
grantor.acronymCzech Science Foundation
grantor.acronymGA ČR
grantor.acronymGAČR
grantor.acronymGACR
grantor.doi10.13039/501100001824


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Funded publications

  • Jedličková, Alice; Fedrová, Stanislava; Fonioková, Zuzana; Hrbata, Zdeněk; Charypar, Michal; Koten, Jiří; Piorecká, Kateřina; Šidák, Pavel; Změlík, Richard; Jedličková, Alice (2023-03)
  • Plecháč, Petr; Šeļa, Artjoms (2021)
    The technique known as contemporary stylometry uses different methods, including machine learning, to discover a poem’s author based on features like the frequencies of words and character n-grams. However, there is one ...

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