نتایج جستجو برای: quantitative readability assessment
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Many digital libraries have identified learners as a core audience. Indeed, many of their resources can be reused in educational contexts. Nevertheless, the search criteria used for retrieving texts as a specific multimedia type are limited. They often do not include properties specific to educational contexts. Assigning LOM metadata to a theatre play or a painting is difficult, since it was no...
Introduction: Medical Assistance, Assistance and research, the principles initiated by Nuremberg Code, were materialized through written documents called Consent Forms. The present study aims to assess understanding of consent form in hospitals state São Paulo. Method: Terms that meet inclusion criteria retrieved analysis with textual readability analysis, specific online assessment instrument ...
text readability in translating children’s literature and its evaluation m. h. ghorashi* s. aminzadeh** birjand university abstract in this study, the phenomenon of readability and its evaluation in the domain of children`s literature and translation will be discussed. some ambiguities and misunderstandings regarding readability are cleared. after presenting some definitio...
Text readability assessment has gained significant attention from researchers in various domains. However, the lack of exploration into corpus compatibility poses a challenge as different research groups utilize corpora. In this study, we propose novel evaluation framework, Cross-corpus text Readability Compatibility Assessment (CRCA) <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xl...
OBJECTIVE To assess the readability of online tracheostomy care resources. STUDY DESIGN Cross-sectional study. SETTING Academic center. SUBJECTS AND METHODS A Google search was performed for "tracheostomy care" in January 2014. The top 50 results were categorized into major versus minor websites and patient-oriented versus professional-oriented resources. These websites were evaluated wit...
This work presents a framework for the automatic construction of large Web corpora classified by readability level. We compare different Machine Learning classifiers for the task of readability assessment focusing on Portuguese and English texts, analysing the impact of variables like the feature inventory used in the resulting corpus. In a comparison between shallow and deeper features, the fo...
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