ZROZUMIAŁOŚĆ PRZEKŁADU TEKSTÓW UŻYTKOWYCH: AUTOMATYCZNA ANALIZA TŁUMACZEŃ ULOTEK LEKÓW NA CUKRZYCĘ.
The article presents results of a corpus-assisted study of diabetes medicines Patient Information Leaflets written in English and their translations into Polish. Several computer programs were used (Sketch Engine, Jasnopis, Coh-Metrix, Oleander Studio) in order to find out which text aspects affect...
| Published in: | Studia Slavica Vol. 24; no. 1; pp. 95 - 123 |
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| Format: | Article |
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University of Ostrava, Faculty of Arts
2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=145162114&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 145162114 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 18035663 KH9B jtl: Studia Slavica issn: 18035663 maglogo: N pubinfo: dt: 2020 vid: 24 iid: 1 pid: 86359 pub: University of Ostrava, Faculty of Arts artinfo: ui: 145162114 10.15452/StudiaSlavica.2020.24.0010 ppf: 95 ppct: 28 formats: tig: atl: ZROZUMIAŁOŚĆ PRZEKŁADU TEKSTÓW UŻYTKOWYCH: AUTOMATYCZNA ANALIZA TŁUMACZEŃ ULOTEK LEKÓW NA CUKRZYCĘ. aug: au: BĄCZKOWSKA, ANNA affil: Nicolaus Copernicus University in Torun, Center for Specialized Languages in Medicine su: Readability formulas Computer software Word frequency Pamphlets People with diabetes Readability (Literary style) sug: subj: Readability formulas Computer software Word frequency Pamphlets People with diabetes Readability (Literary style) keyword: BNC corpus-assisted analysis diabetes localization medical discourse NKJP parallel corpus patient information leaflets plTenTen12 readability translation ab: The article presents results of a corpus-assisted study of diabetes medicines Patient Information Leaflets written in English and their translations into Polish. Several computer programs were used (Sketch Engine, Jasnopis, Coh-Metrix, Oleander Studio) in order to find out which text aspects affect the readability of these leaflets. The study combined the methodology of classical readability tests, a corpus-driven lexical analysis as well as automated text analysis. The correlation between traditional tests and the lexicosyntactic analysis was checked. Moreover, lexical aspects of texts which have the strongest influence on text readability were determined. A parallel corpus was compiled in order to compare the results obtained for the corpus of Polish leaflets with those retrieved from the corpus of English leaflets. The frequency of select words was determined with the aid of the British National Corpus, Narodowy Korpus Języka Polskiego as well as the plTenTen15 corpus. It was noticed that both the English leaflets and their translations had a low readability level. pubtype: Academic Journal doctype: Article src: R language: Polish refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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