Results 121 to 130 of about 2,988 (163)

High-Resolution Chloroplast SNV Profiling of 409 Grapevine (<i>Vitis vinifera</i> L.) Cultivars Using Whole-Genome Shotgun Sequencing. [PDF]

Int J Mol Sci
Rudolf Pilih K, Kasunič T, Cesar T, Rusjan D, Razi M, Jovanović-Cvetković T, Dervishi A, Ivanišević D, Biniari K, Beleski K, Maraš V, Zdunić G, Mandić A, Bacilieri R, Jakše J, Štajner N.   +15 more
europepmc   +1 more source

Mental health literacy and psychological outcomes in dual-career athletes. [PDF]

Front Sports Act Living
Usenik J, Kranjec E.
europepmc   +1 more source

The Role of Aspect During Deverbal Word Processing in Greek. [PDF]

J Psycholinguist Res
Tsaprouni E, Manouilidou C.
europepmc   +1 more source

Prevalence, determinants, and prognostic impact of polyvascular disease in patients hospitalised for atherosclerosis in Slovenia: a nationwide, retrospective cohort study. [PDF]

EClinicalMedicine
Pelicon K, Furlan T, Boc V, Gavrić D, Jug B, Došenović Bonča P.   +5 more
europepmc   +1 more source

Psychometric Properties of the Turkish Version of the Movement Imagery Questionnaire for Children. [PDF]

Turk Arch Pediatr
Şengün N, Dilek B, Ankaralı H, Kuru ÇA.   +3 more
europepmc   +1 more source

Validation of the Slovenian versions of Child and Youth Resilience Measure-12 and Brief Resilience Scale among youth. [PDF]

Front Psychol
Smrke U, Rehberger A, Močnik S, Špes T, Mlakar I, Plohl N.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Modelling Highly Inflected Slovenian Language

International Journal of Speech Technology, 2003
This paper concerns the development of statistical language models of the Slovenian language for use in an automatic speech recognition system. The proposed techniques are language-independent and can be applied to other highly inflected Slavic languages.
Mirjam Sepesy Maučec, Tomaž Rotovnik, Melita Zemljak   +2 more
openaire   +1 more source

Labeling of Symbolic Prosody Breaks for the Slovenian Language

International Journal of Speech Technology, 2003
This paper presents the data-driven prediction of word level prosody breaks modelling for the Slovenian language. Automatic learning techniques depend on the construction of a large corpus labeled appropriately. This labeling can be done either automatically, or by hand.
Janez Stergar, Vladimir Hozjan, Bogomir Horvat   +2 more
openaire   +1 more source

SOVA - software environment for NLU of Slovenian language

ACM SIGART Bulletin, 1982
The field of natural language processing already has quite a tradition in Yugoslavia but research is lacking in AI related areas, such as natural language understanding (NLU) and knowledge representation. In order to establish sound software support for such research we have been developing a system named SOVA.
openaire   +1 more source