Simplifying, reading, and machine translating health content: an empirical investigation of usability
Year: 2019
Type: dissertation
Abstract: Text simplification, through plain language (PL) or controlled language (CL), is adopted to increase readability, comprehension and machine translatability of (health) content. Cochrane is a non-profit organisation where volunteer authors summarise and simplify health-related English texts on the impact of treatments and interventions into plain language summaries (PLS), which are then disseminated online to the lay audience and translated. Cochrane’s simplification approach is non-automated, and involves the manual checking and implementation of different sets of PL guidelines, which can be an unsatisfactory, challenging and time-consuming task.\nThis thesis examined if using the Acrolinx CL checker to automatically and consistently check PLS for readability and translatability issues would increase the usability of Cochrane’s simplification approach and, more precisely: (i) authors’ satisfaction; and (ii) authors’ effectiveness in terms of readability, comprehensibility, and machine translatability into Spanish.\nData on satisfaction were collected from twelve Cochrane authors by means of the System Usability Scale and follow-up preference questions. Readability was analysed through the computational tool Coh-Metrix. Evidence on comprehensibility was gathered through ratings and recall protocols produced by lay readers, both native and non-native speakers of English. Machine translatability was assessed in terms of adequacy and fluency with forty-one Cochrane contributors, all native speakers of Spanish.\nAuthors seemed to welcome the introduction of Acrolinx, and the adoption of this CL checker reduced word length, sentence length, and syntactic complexity. No significant impact on comprehensibility and machine translatability was identified. We observed that reading skills and characteristics other than simplified language (e.g. formatting) might influence comprehension. Machine translation quality was relatively high, with mainly style issues.\nThis thesis presented an environment that could boost volunteer authors’ satisfaction and foster their adoption of simple language. We also discussed strategies to increase the accessibility of online health content among lay readers with different skills and language backgrounds.
Author: Alessandra Rossetti
Language: English
Subfield: Linguistics and Language
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W3000960569