Historically, anti-vaccination sentiment has existed in many populations. Mass media plays a large role in disseminating and sensationalizing vaccine objections, especially via the medium of the Internet. Based on studies of processing fluency, we assumed that anti-influenza vaccination online messages to be more readable and more fluently processed than pro-influenza vaccination online message...

s Scott Crossley Crowdsourcing text complexity models The current study builds on work by De Clercq et al. (2014) and Crossley et al. (2017) by using crowdsourcing techniques to collect human ratings of text comprehension, processing, and familiarity across a large corpus comprising a diverse variety of topic domains (science, technology, and history). Pairwise comparisons among the ratings wer...

STUDY DESIGN Cross-sectional analysis of online spine-related patient education materials from leading academic centers. OBJECTIVE To assess the readability levels of spine surgery-related patient education materials available on the websites of academic orthopedic surgery departments. SUMMARY OF BACKGROUND DATA The Internet is becoming an increasingly popular resource for patient education...

background: patient education is taken into account as one of the key components of comprehensive care as well as one of the significant nursing functions in order to increase community health. in this respect, education materials and written texts can improve patient information up to 50% and consequently meet patient satisfaction. readability is considered as an integral concept in patient ed...

This paper proposes a graph-based readability assessment method using word coupling. Compared to the state-of-theart methods such as the readability formulae, the word-based and feature-based methods, our method develops a coupled bag-of-words model which combines the merits of word frequencies and text features. Unlike the general bag-of-words model which assumes words are independent, our mod...

Readability aims to assess the difficulty of texts based on various linguistic predictors (the lexicon used, the complexity of sentences, the coherence of the text, etc.). It is an active field that has applications in a large number of NLP domains, among which machine translation, text simplification, text summarisation, or CALL (Computer-Assisted Language Learning). For CALL, readability tool...

<p class="LingTeraAbstractBodyEnglish">This study aimed to find out the impact of translation techniques used by translator in The White Lady’s subtitles Pamali: Indonesian Folklore Horror Game. This applied descriptive qualitative method. data this were obtained through document analysis and Focus Group Discussion (FGD). theory for analysing technique was proposed Molina Albir (2002). re...

Many formulas and methods for assessing the readability of a text or determining the appropriate grade level are inaccurate and based only on surface features of text. In automatic assessment of a text’s reading level, computers can easily run more sophisticated models than simple algebraic formulas; the goal of this project is to create such a model. Indexes and statistics will be computed wit...