Cieľ: Zámerom štúdie bolo zistiť, či dĺžka praxe ovplyvňuje mieru syndrómu vyhorenia v nami sledovanom súbore sestier a pôrodných asistentiek. Metódy: Zvolili sme štandardne využívaný dotazník na stanovenie miery syndrómu vyhorenia Maslach Burnout Inventory, ktorý on-line formou mohli vypĺňať sestry a pôrodné asistentky zaregistrované v Slovenskej komore sestier a pôrodných asistentiek. Vzorku tvorilo 844 sestier a pôrodných asistentiek. Výsledky: Hlbšou analýzou sa potvrdil štatisticky významný vzťah medzi mierou syndrómu vyhorenia a dĺžkou praxe. Sestry a pôrodné asistentky pracujúce v období od 1–3 rokov a od 5 rokov majú signifi kantne vyšší výskyt syndrómu vyhorenia. Závery: Zistené výsledky môžu uplatniť najmä zamestnávatelia v oblasti prevencie syndrómu vyhorenia., Aim: The aim of this study was to explore whether the length of employment aff ects the rate of burnout syndrome in nurses and midwives. Methods: In our research, we employed the standardized Maslach Burnout Inventory questionnaire, which was completed on-line by nurses and midwives registered in the Slovakian Guild of Nurses and Midwives. The sample consisted of 844 nurses and midwives registered by the Slovakian Guild of Nurses and Midwives. Results: Our results suggest signifi cant relation between the employment length and burnout syndrome. Nurses and midwives working from 1 to 3 years and more than 5 years had signifi cantly higher prevalence of burnout syndrome. Conclusion: The results of our study could be utilized by employers in the fi eld of prevention of burnout syndrome., Lucia Dimunová, Iveta Nagyová, and Literatura 18
A set of corpora for 120 languages automatically collected from wikipedia and the web.
Collected using the W2C toolset: http://hdl.handle.net/11858/00-097C-0000-0022-60D6-1
Testing set from WMT 2011 [1] competition, manually translated from Czech and English into Slovak. Test set contains 3003 sentences in Czech, Slovak and English. Test set is described in [2].
References:
[1] http://www.statmt.org/wmt11/evaluation-task.html
[2] Petra Galuščáková and Ondřej Bojar. Improving SMT by Using Parallel Data of a Closely Related Language. In Human Language Technologies - The Baltic Perspective - Proceedings of the Fifth International Conference Baltic HLT 2012, volume 247 of Frontiers in AI and Applications, pages 58-65, Amsterdam, Netherlands, October 2012. IOS Press. and The work on this project was supported by the grant EuroMatrixPlus (FP7-ICT-
2007-3-231720 of the EU and 7E09003 of the Czech Republic)