Research problem: In our increasingly globalized world, the fields of technical and professional communication (TPC) and translation studies (TS) share many points of contact, especially among practitioners. However, within academia, the fields remain largely siloed. To help bridge the gaps between TPC and TS, to advance interdisciplinary research in the two fields, and understand how technical communication and translation can be discursively integrated, this article offers an integrative literature review of research in TPC and TS that focuses on intersections between the two fields. Research questions: 1. What are the research questions, purposes, and objectives in the research under study? 2. Who is represented in the literature, and what languages do they speak? Methodology: To understand how the fields are converging, we conducted a staged integrative literature review of peer-reviewed journal articles and book chapters in TPC and TS. Next, we performed a thematic analysis to investigate patterns across the collected literature. Results and conclusions: Our analysis suggests five themes that help connect research and practice in TPC and TS, including pedagogical approaches for training students for careers in international technical communication and translation; collaborations among practitioners in both fields; questions of social justice, language diversity, and language access; available resources and tools; and the role of culture in translation. We conclude by advocating for a stronger integration of the two fields and by suggesting how to build on the foundations of research work conducted in the five identified themes.

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><b>Background:</b></i> There is a lack of conceptual framework for how to develop more inclusive practices in the subfield of technical editing. <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>Literature review:</i></b> Some researchers have posited theories, like feminism and rhetorical theory, as ways to conceptualize technical editing. This piece extends that literature into social justice using Walton, Moore, and Jones's 3Ps heuristic of positionality, privilege, and power. <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>Research questions:</i></b> 1. What ideologies are circulating in technical editing pedagogy? 2. How might technical editing pedagogy become more inclusive? <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>Methodology:</i></b> We conduct a rhetorical analysis of the major academic works in technical editing, including books, textbooks, and academic articles, and compare them to an established framework for social justice in technical and professional communication—the 3Ps heuristic. <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>Results:</i></b> We find that there are strong instrumentalist underpinnings to much of the current literature in technical editing, making the goal of technical editing linguistic conformity to American Standard English (ASE) at the expense of linguistic diversity. We offer a conceptual framework, the inclusive editing paradigm (IEP), to challenge that linguistic hegemony in technical editing and provide technical editors with theoretical and practical foundations for developing a more inclusive editing practice. <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>Conclusions:</i></b> More work needs to be done to shift technical editing in a more inclusive direction. We call on practitioners, academics, and users to contribute to this dialogue.

Introduction: Professional communication instructors in transnational contexts face unique challenges when helping students transition into the workplace. These challenges include preparing students for multilingual workplaces and educational settings, as well as multicultural communication in English at transnational workplaces. About the case: The authors, working at an international branch campus (IBC) in the Middle East, wanted to revise their assignments in a technical writing course for engineers in order to better prepare students for the realities of professional communication in the region. Situating the case: Engineering students matriculate into an increasingly diverse workplace, but instructors may not adequately understand the needs of employers in transnational corporations. Methods: Semistructured interviews were conducted with students and alumni of the IBC, and transcripts were coded for common themes. Results/discussion: Students and alumni had different perceptions of workplace communication genres, expectations for detailed writing, and the ability to adapt rhetorical strategies for different contexts. Alumni experienced a gap between their professors' and their workplaces' expectations for business genres and level of detail. They also reported that one of their significant challenges was adopting a flexible mindset toward written and spoken communication practices. Conclusions: Professional communication instructors should emphasize the strengths of multilingual writers, particularly their sense of language difference and rhetorical attunement, to better prepare them for the transnational workplace, in both the US and abroad. The authors describe changes in their pedagogy to help students adopt a more flexible and industry-oriented mindset toward technical communication.

Understanding data-modeling performance can provide valuable lessons for the selection, training, research, and development of data models. Data modeling is the process of transforming expressions in loose natural language communications into formal diagrammatic or tabular expressions. While researchers generally agree that abstraction levels can be used to explain general performance differences across models, empirical studies have reported many construct level results that cannot be explained. To explore further explanations, we develop a set of model-specific construct complexity values based on both theoretical and empirical support from complexity research in databases and other areas. We find that abstraction levels and complexity values together are capable of providing a consistent explanation of laboratory experiment data. In our experiment, data were drawn from three models: the relational model, the extended-entity-relationship model, and the object-oriented model. With the newly developed complexity measures, a consistent explanation can be made for findings from other studies which provide sufficient model details for complexity values to be calculated.