Pričujoča tematska številka revije Slovenščina 2.0 se posveča digitalnemu jezikoslovju, hitro rastočemu interdisciplinarnemu področju raziskav na stičišču tradicionalnega jezikoslovja, informacijskih ...tehnologij in družboslovnih ved. V ospredju digitalnojezikoslovnih raziskav je ohranjanje, analiza in uporaba jezikovnih podatkov, digitalnih artefaktov z jezikom kot nosilcem medčloveškega sporazumevanja. Digitalno jezikoslovje tako pri nas kot po svetu postaja vse pomembnejše ne samo v akademskih in izobraževalnih krogih, temveč tudi v javnem in zasebnem sektorju, ki za uspešno delovanje v sodobni družbi in gospodarstvu vse bolj potrebujeta strokovnjake, vešče upravljanja z digitalnimi jezikovnimi podatki.
Redno vpisani tuji študenti Univerze v Ljubljani, ki se v prvem letu študija v okviru modula Leto plus učijo slovensko, se v drugem semestru na posebni delavnici podrobneje spoznajo s spletnimi ...jezikovnimi viri in tehnologijami za slovenščino. V prispevku je opisana izvedba te delavnice v študijskem letu 2019/20, ko je zaradi pandemije koronavirusa potekala na daljavo, v obliki interaktivnih videoposnetkov z nalogami za preverjanje razumevanja snovi. Drugi del prispevka se osredotoča na mnenje študentov o tovrstnih jezikovnih virih. S spletno anketo sem analizirala stališča in izkušnje študentov dveh generacij: študenti generacije 2018/19 so spletna orodja spoznavali v razredu, študenti generacije 2019/20 pa na daljavo. Sodeč po rezultatih ankete, mlajša generacija študentov jezikovne vire na spletu uporablja pogosteje. Študenti obeh skupin najpogosteje uporabljajo Googlov Prevajalnik, ki mu sledijo Sloleks, pregibnik Besana, Fran in Pons. Kot argumente za uporabo teh virov izpostavljajo predvsem hitrost oz. enostavnost uporabe in navajenost na določen vir.
Konferenca Jezikovne tehnologije in digitalna humanistika 2020, ki jo skupaj z Inštitutom za novejšo zgodovino , Centrom za jezikovne vire in tehnologije Univerze v Ljubljani (CJVT) ter ...raziskovalnima infrastrukturama CLARIN.SI in DARIAH-SI organizira Slovensko društvo za jezikovne tehnologije (SDJT), je letos potekala 24. in 25. septembra 2020, že tretjo multidisciplinarno izvedbo konference pa je podprl CLARIN ERIC. Konferenca, ki se lahko pohvali z več kot 20-letno tradicijo delovanja, je leta 2016 v svoj program vključila tudi področje digitalne humanistike in s tem postala pomemben povezovalni člen med omenjenima disciplinama.
The book (' The Energy Needs Of Humanity Through Time: From The Industrial Revolution To Type I Civilization') is about global consumption of energy and its impact on our planet. Energy demand is a ...quite dynamic phenomenon and depends heavily on technological development, which is particularly evident during industrial revolutions, which had improved the quality of life for the inhabitants, but lead to increase in energy consumption. However~the economic progress did not account for tangible physical limits of our planet, which manifested in rise in greenhouse gas concentrations in the atmosphere and a rapid increase in average annual global temperature. The consequences of this type of behavior are clear – future global warming, rising sea levels and direct threat to vast, low-lying areas, as well as a rapid increase in the number and consequences of extreme weather events such as storms, prolonged rainfall, and the like. A path toward less energy intense future requires rapid reductions of fossil fuels usage but also a radical shift towards larger energy efficiency. The book is intended as a source of key data showing how we have arrived at the current state of energy consumption and understanding of climate change.
The exigency of emotion recognition is pushing the envelope for meticulous strategies of discerning actual emotions through the use of superior multimodal techniques. This work presents a multimodal ...automatic emotion recognition (AER) framework capable of differentiating between expressed emotions with high accuracy. The contribution involves implementing an ensemble-based approach for the AER through the fusion of visible images and infrared (IR) images with speech. The framework is implemented in two layers, where the first layer detects emotions using single modalities while the second layer combines the modalities and classifies emotions. Convolutional Neural Networks (CNN) have been used for feature extraction and classification. A hybrid fusion approach comprising early (feature-level) and late (decision-level) fusion, was applied to combine the features and the decisions at different stages. The output of the CNN trained with voice samples of the RAVDESS database was combined with the image classifier’s output using decision-level fusion to obtain the final decision. An accuracy of 86.36% and similar recall (0.86), precision (0.88), and f-measure (0.87) scores were obtained. A comparison with contemporary work endorsed the competitiveness of the framework with the rationale for exclusivity in attaining this accuracy in wild backgrounds and light-invariant conditions.
Communication and information sources can play an important role when addressing drug use. The aim of this study is to assess the association of different levels of trust in information sources ...regarding drug use within different population groups.
Data was gathered using a mixed methods approach, with an online survey and interviews. A structured questionnaire was designed for data collection using the methodology of the European Monitoring Centre for Drugs and Drug Addiction, with additional items measuring trust in the information sources.
In total 9,161 inhabitants of Slovenia aged 15-64 years and living in the private households completed the survey as part of this non-experimental quantitative study (response rate: 57%). A total of 20.7% of the participants reported having used cannabis or hashish at least once in their lives, 2.5% cocaine/crack cocaine and 0.4% heroin. Mean age of the first cannabis/hashish use was 19.59 years, cocaine/crack cocaine 22.73 years and heroin 20.63 years. The participants most value and trust the information sources regarding tobacco, alcohol and illicit drugs if it comes from healthcare workers or immediate family and other relatives, and put the least trust in the internet and television.
The data show that drug users have less trust in the given information sources compared to the whole sample. The present research serves as evidence for development and implementation of targeted interventions, including communication activities and tools.
This book by the renowned Russian linguist and semiotician Nikolai Mikhailov Николай Александрович Михайлов (1967–2010) is now published posthumously, more than ten years after his death. Presented ...is analytic overview of numerous past studies on Slavic and Balto-Slavic mythology. Included are works written by scholars of Slavic mythology based on written sources as well as on findings from folklore, linguistics, and archaeology. The first analysed is the work of the Lusatian-Serbian author Michael Frenzl on Slavic idols, which was written as early as 1691 but not published until 1719. It is followed by treatises and monographs that span across three centuries. The so-called original sources (reports of chroniclers, archaeological sources) may be incomplete and obscure, yet they are in this book again critically analysed. The author reconstructed the mythology of various Slavic nations partly also through the remnants of paganism that have survived to this day in various and often highly modified forms.
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