Zobrazeno 1 - 10
of 12
pro vyhledávání: '"László, Felföldi"'
Autor:
László, Felföldi
Publikováno v:
FolkMAGazin; 2023, Vol. 30 Issue 3, p30-33, 4p
Autor:
László Felföldi
Felföldi (Hungary) offers a broad survey of the Hungarian dance repertoire as it stood when the round dances began to spread into Hungary from neighbouring countries, and how they were met as a foreign influence that the ethnochoreologists did not e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b73fc9da39b241b523c8a16626e47d29
https://doi.org/10.11647/obp.0174.07
https://doi.org/10.11647/obp.0174.07
Autor:
László, Felföldi
Publikováno v:
FolkMAGazin; 2024, Vol. 31 Issue 3, p10-11, 2p
Autor:
László, Felföldi
Publikováno v:
FolkMAGazin; 2024, Vol. 31 Issue 5, p20-20, 1p
Autor:
István Pávai, László Felföldi
Publikováno v:
Ethnologie française. 36:261-272
La musique, la danse et la poesie sont considerees comme les trois expressions majeures de la culture traditionnelle hongroise. Leur quasi totale imbrication est un des traits caracteristiques de l’expression artistique hongroise. Les mouvements ac
Autor:
László Felföldi
Publikováno v:
Acta Ethnographica Hungarica. 60:201-202
Publikováno v:
Text, Speech and Dialogue ISBN: 9783540287896
TSD
TSD
This paper presents a method for the syntactic parsing of Hungarian natural language texts using a machine learning approach. This method learns tree patterns with various phrase types described by regular expressions from an annotated corpus. The PG
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd6b9fa03b71cf505dcbe4c90f430a39
https://doi.org/10.1007/11551874_9
https://doi.org/10.1007/11551874_9
Publikováno v:
Tanctudomanyi Kozlemenyek; 2019, Issue 2, p92-94, 3p
Publikováno v:
Engineering of Intelligent Systems ISBN: 9783540422198
IEA/AIE
IEA/AIE
This paper examines the applicability of some learning techniques to the classification of phonemes. The methods tested were artificial neural nets (ANN), support vector machines (SVM) and Gaussian mixture modeling. We compare these methods with a tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a27d3bc09e38dc727eb713cf5b0ff8bb
https://doi.org/10.1007/3-540-45517-5_56
https://doi.org/10.1007/3-540-45517-5_56
Autor:
László Felföldi
Publikováno v:
Dance in the Field ISBN: 9781349404278
Widespread interest and recognition of folklore, from the late eighteenth century onwards, provided a stimulating atmosphere for the emergence of scientific investigation into folk dance traditions in Hungary. The particular ethos of Hungarian folk d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::441e94cbbdb446fb821d6801ba53c829
https://doi.org/10.1057/9780230375291_5
https://doi.org/10.1057/9780230375291_5