This article explores English readers’ reception of Fortress Besieged as a translated literary work in the digital space, based on descriptive statistics, sentiment analysis, and content analysis of their comments at categorized dimensions. This study discovers that English readership online tends to devalue the translators’ craftsmanship, especially the interlingual transfer of cultural contents, and the sluggish pace of this novel’s storyline. However, the generally successful preservation of the humor and satire of the source text is appreciated. Through bringing cyberspace readers’ voices to the academic frontier, this study highlights the necessity of a fluent plot, cultural transfer challenges, and the adornment of figurative language when translating novels for English readers.

As an integration of translation studies with audience research in media studies, this paper explores how English readers react to the translated Chinese classic novel Hong Lou Meng. This exploration is primarily based on qualitative and quantitative analyses of a tagged corpus of digital reader reviews of four English translations of the novel by Hawks & Minford, the Yangs, Wang, and Joly. This study reveals that English versions of Hong Lou Meng have small readership, despite receiving generally positive evaluations. Readers appreciate the novel’s setting and poetry in all of the English versions, although the sporadic plot is not highly valued. The myriad character names that are mostly Romanised pose a notable challenge for English readers. In relation to the circulation of novels across languages and cultures, this study underlines the importance of a focused storyline and readable exotic cultural and literary elements to attract a large readership to translated literature.

This article explores the differences of translation processes for expressive and informative texts by professional translators primarily by triangulating pausing and revision data retrieved by Keystroke logging experiment and rational report thereof via questionnaire survey and interview. The article discovers that in terms of temporal distribution, the drafting of informative text accounts for a larger proportion of time, while orientation and checking accounts for a smaller proportion compared with those of expressive texts. At orientation interval, translators come to fully understand the source expressive text at the very beginning, while generally conducting syntactic analysis of and re-sequencing the semantic component of source text in target language in translating informative text. At drafting interval, structural modification frequency word rate (MWR) in translating the expressive text is larger than that in translating the informative texts, while spelling and lexical MWRs of both texts are similar. At checking interval, both texts hardly see any structural modification, but lexical MWR for the former is much bigger than that for the latter. These data, along with pausing and revision rational report, suggest the priority of familiarity with standardized grammar and expertise in specialized field for translating informative text, and the importance of embedded reading and writing training for translating expressive text.

Neural machine translation (NMT), proven to be productively and qualitatively competitive, creates great challenges and opportunities for stakeholders in both the market and the education contexts. This paper explores how English-Chinese NMT post-editing (PE) is accepted in China from the perspectives of attitude, practice, and training, based on an integrative digital survey with role-specific popup questions for translators and clients in the market setting, and for translation teachers and students in the education setting. Descriptive statistics and correlation analyses of the survey data suggest Chinese stakeholders’ generally moderate view of PE, with outsiders like clients being more optimistic about PE than are insiders like translators. In the market setting, most translators use PE to different degrees in translating primarily informative texts; here, affiliated translators report a more frequent usage, and employ more sophisticated tools than do part-time or freelance translators. Whereas translators, on the whole, fail to notify clients of their own PE usage, or to charge clients for PE and human translation (HT) differently, most clients express their willingness to accept high-quality PE output for the sake of saving cost and time. In the education setting, despite students’ concealed usage of PE to do HT assignments to varying degrees, and their wish to learn PE out of concern for their future career, PE is generally not taught in translation classrooms of Chinese universities in the form of teaching PE as a course or integrating PE content into traditional translation course.

Primary care physicians (PCPs) play an indispensable role in providing comprehensive care and referring patients for specialty care and other medical services. As the COVID-19 outbreak disrupts patient access to care, understanding the quality of primary care is critical at this unprecedented moment to support patients with complex medical needs in the primary care setting and inform policymakers to redesign our primary care system. The traditional way of collecting information from patient surveys is time-consuming and costly, and novel data collection and analysis methods are needed. In this review paper, we describe the existing algorithms and metrics that use the real-world data to qualify and quantify primary care, including the identification of an individual’s likely PCP (identification of plurality provider and major provider), assessment of process quality (for example, appropriate-care-model composite measures), and continuity and regularity of care index (including the interval index, variance index and relative variance index), and highlight the strength and limitation of real world data from electronic health records (EHRs) and claims data in determining the quality of PCP care. The EHR audits facilitate assessing the quality of the workflow process and clinical appropriateness of primary care practices. With extensive and diverse records, administrative claims data can provide reliable information as it assesses primary care quality through coded information from different providers or networks. The use of EHRs and administrative claims data may be a cost-effective analytic strategy for evaluating the quality of primary care.

(2020). Art, trade, and cultural mediation in Asia, 1600–1950. Critical Arts. Ahead of Print.