Crowdsourcing and Online Collaborative Translations: by Miguel A. Jiménez-Crespo

By Miguel A. Jiménez-Crespo

Crowdsourcing and on-line collaborative translations have emerged within the final decade to the vanguard of Translation reviews as some of the most dynamic and unpredictable phenomena that has attracted progressively more researchers. the recognition of this set of assorted translational procedures holds the capability to reframe latest translation theories, redefine a few tenets within the self-discipline, boost learn within the so-called “technological flip” and influence public perceptions on translation. This publication presents an interdisciplinary research of those phenomena from a descriptive and demanding standpoint, delving into ways and fostering inter and intra disciplinary connections among parts during which the impression is the best, equivalent to cognitive translatology, translation applied sciences, caliber and translation evaluate, sociological techniques, text-linguistic methods, audiovisual translation or translation pedagogy. This publication is of unique curiosity to translation researchers, translation scholars, specialists or a person with an curiosity on how crowdsourcing and on-line collaborative translations relate to previous, current and destiny learn and theorizations in Translation Studies.

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Extra resources for Crowdsourcing and Online Collaborative Translations: Expanding the limits of Translation Studies

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The main difference between them is that genres are defined by extratextual factors, such as sociocultural, communicative, and cognitive features, while text types are conventionalized in respect to their intratextual or linguistic configuration (Trosborg 1997). Genres are more concrete than textual types, such as a poem, a personal blog, or a tweet, while text types represent more abstract categories with closed limited categories, such as exhortative, expositive, and argumentative types (Hatim and Mason 1990).

2012). This process is used by the main web-based MT engines such as Google Translate or the Microsoft Translator API, and also by crowdsourcing platforms such as Asia Online. 5). “Social translation” is often used in order to refer to translations that occur within any given society. However, if the literature in TS is analyzed, this type of translation is also used with two differentiated meanings: some scholars place social translation closer to activist approaches to translation (Newmark 2003; O’Hagan 2011; Baker 2014), while in the context of technology scholars have again used it as a synonym for crowdsourcing (Austermühl 2011; O’Brien 2011a; Wasala et al.

Participants are sometimes anonymous users or translators approved by the provider, and some of them offer different tiers of translation services based on the level of expertise of the participants involved. For example, in the crowdsourcing platform Cucumis, translations are paid by means of credits earned while translating for others. After receiving quality ratings over 70% in translations, members can move up to “expert” levels. When requesting a translation, an “expert” translation costs more translation credits than a general one.

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