Skip to navigation – Site map

HomeIssues7Translation Pedagogy in the Digit...

Translation Pedagogy in the Digital Age

How digital technologies have been altering translator education
Mariusz Marczak


The language service provision industry is rapidly developing, with the market growing on an annual basis (Drugan 2014; DePalma et al. 2014; 2017; Pym 2016) due to voluntary and non-voluntary human mobility, increased social agency (Cronin 2013), as well as the worldwide provision of services, goods and cultures (Orlando 2016). As a result, the practices of modern-day language service providers are being altered via the implementation of Machine Translation (MT) (TAUS 2013) and Computer Assisted Translation (CAT) tools (Bondarenko 2015) so that the industry can cope with increased volumes of text to be translated, shrinking deadlines, and decreasing remuneration (Choudhury & McConnell 2013). At the same time, the translation market is becoming convergent as language service providers expand, while freelancers attempt to retain a competitive edge by teaming up (Breen 2017). Whatever the case, online solutions are being implemented which permit translation teams to work flexibly via telecollaboration (Pym 2016; Schaeffner 2016). The sign of the times is the need to keep abreast of the shifts in work modes and tools necessitated by them, which requires translators to display a set of skills relating to both translation technologies and telecollaboration and communication tools (Bondarenko 2015). What it brings to the forefront of contemporary translator education — and also language education, for that matter — is the learner’s capacity and preparedness for self-directed, autonomous learning (Kukulska-Hulme et al. 2015). Having said that, today’s translator education systems must create conditions for students not only to learn about translation but also develop a range of soft/employability skills, e.g. critical thinking skills, communication skills, problem-solving skills and collaboration skills, which will help them live up to the expectations of the Language Service Providers (LSPs), or the market at large (Mirza 2017). This paper investigates how translator education may respond to that need through a pedagogic shift from traditional, positivist epistemology, consisting in teacher-centered instruction and knowledge transmission, towards emergentist education, which emancipates the learner, situates the learning experience, emphasizes collaboration and aims at developing translator competence, which is viewed as a complex system of interactions between a myriad of context-dependent factors (Göpferich 2008; Kiraly 2013; 2015; Kiraly and Hoffman 2016). The author examines how this new pedagogy affects the learner, their self-perception and conceptualization of the translation profession, with particular emphasis on Web- and CAT-based pedagogies and work-modes. It concludes with a number of evidenced predictions which altogether constitute a voice in the debate about the future outlook for translator education.

Top of page

Full text

1. Growth of the global translation market

1The global translation market has experienced sustained growth over the last few decades, and although actual estimates of the growth rate may differ between sources (Kelly et al. 2010; Drugan 2013; DePalma et al. 2014; Pym 2016), the trend finds confirmation in research reports, anecdotal evidence and official forecasts issued by professional organisations.

2Between the years 1950 and 2004 the language service provision (LSP) market grew at the average annual rate of 5% (Drugan 2013). In the light of Kelly et al.’s (2010) research results, in 2010 the market was worth 26 billion USD. More recently, in the years 2013-2015, the annual growth averaged 6.46%, as reported by the Common Sense Advisory (CSA) (DePalma et al. 2017), an independent, Massachusetts-based consulting firm specialising in language services, whose research results demonstrate the global language service market to have generated revenue at the level of 34.8 billion USD in 2013, nearly 37.2 in 2014 and 38.2 in 2015. The most recent data from CSA (DePalma et al. 2017) reveal a further growth in revenue from 40 billion USD in 2016 (DePalma at al. 2016) to 43 in 2017 (DePalma et al. 2017).

3By Pym’s (2016) seemingly bold estimate, the current growth rate is even greater and could be as high as 10% annually, which dovetails with the predictions for the years 2008-2015, published as part of a study report on the size of the language industry in Europe commissioned by the Directorate-General for Translation of the European Commission (DGT 2009). According to the study data, the industry’s value in Europe amounted to 8.4 billion EUR in 2009 and was predicted to reach a minimum of 16.5 billion EUR by 2015.

4The LSP industry’s growth is reflected not only in revenue figures but also in the number of jobs generated by it. For instance, the US Bureau of Labor Statistics (US BLS 2015) predicted a colossal increase of 46% in the number of jobs available within the LSP industry in the years 2012-2022. Its latest forecasts predict a 17% growth in employment between 2016 and 2026, with the average growth rate for all other occupations amounting to only 7% (US BLS 2017).

5The growth has been stimulated by a number of factors, including globalisation and increased migration flows. As Orlando (2016) posits, due to the voluntary and non-voluntary “circulation of people, goods, services, ideas and cultures” (Orlando 2016: 18), which has resulted from the internationalisation of the economy or conflicts and natural disasters respectively, demand for professional language service provision has visibly increased. Following Cronin (2003), he also points towards people’s increased social agency, i.e. involvement in intergovernmental and nongovernmental organisations operating worldwide to resolve problems relating to nature conservation, climatic change or renewable energy, as a catalyst for international communication and thus the implementation of translation and interpreting.

2. Shifts in professional practices

2.1 Work modes and tools

6All this has exerted a significant influence on the professional practices of the LSP industry, which — amongst the manifold consequences of increased demand — needs to face rapidly growing volumes of text (Lionbridge 2017) to be translated in a relatively short time and at a low cost (Choudhury & McConnell, 2013). In response to that, language service provision must involve technologies which permit the automation of the translation process (TAUS, 2013), the use of Computer Assisted Translation (CAT) tools (Bondarenko 2015; US BLS 2017) as well as the harnessing of telecollaborative translation work modes (Pym 2016; Schaeffner 2016), which permit commissions to be job-shared by translation teams, thus reducing the time in which they can be completed. Interestingly enough, team translation is by no means a sign of the times. As Bistué (2013) demonstrates, collaborative translation practices were already used in medieval and Renaissance Europe, when translators would either work in teams while transposing voluminous texts from Greek, Arabic and Hebrew into Latin by delegating specific tasks to selected individuals, or when they would collaborate with copyists and printers in an attempt to produce multilingual translations in a range of layouts. The novelty of today lies in the electronic tools thanks to which team translation can now be performed, i.e. state-of-the-art translation technologies, including locally installed CATs (Bondarenko 2015), cloud-based Software-as-a-Service (SaaS) solutions (Mrochen 2014) and Web-enhanced communication tools.

7Due to the introduction of a range of translation technologies, the profession has undergone serious change. As Orlando (2016) rightly observes, the relatively safe 20th- century pattern of professional translators working in-house within the structures of larger companies has been replaced with the 21st century’s much more volatile reality, where self-employed, freelancing individuals perform specific tasks for translation agencies, get commissioned to perform jobs directly by their clients, and where they must cope with worldwide competition. As Beens (2017) explains, more and more freelance translators face competition from larger translation bureaus — many of them expanded through mergers and acquisitions — thus they need to join colleagues, form teams and perform translation jobs via telecollaboration. Just as the practical conditions of the translator’s work change, so does the mindset of translators need to alter in order to permit them to embrace greater flexibility, increased social interaction.

8Online technologies have not only internationalised translation, permitting all the stakeholders to operate from locations all over the world, but they have also freed translators from the burden of having to work in a fixed setting, e.g. the translation bureau, with a predetermined set of tools, frequently limited to the locally available software, and at a fixed time, e.g. during office hours. LSPs can now basically work on an anytime/anywhere basis, at the time of their choice, from the location they deem most convenient — be it at home, away from it or even while travelling — and with the use of a platform they find most suitable.

9One of the outcomes of this is the translator’s increased online presence, which requires the development and use of a number of ICT (Information and Communications Technology) and online communication skills. For example, as O’Brien (2012) posits, the translator of today utilises Web-based solutions in order to interact with clients or co-translators. Email and instant messaging have, to a large extent, replaced telephones and faxes, while CD-ROMs — and other portable storage media — which were once used to deliver the source text to the translator, have now been replaced by workflow management tools, through which texts can be downloaded. More recently, file sharing services and cloud-based disks, operating as server spaces administered by users at their discretion, have also been used for that purpose.

10In the course of translation project work, communication between all the stakeholders involved in it is also largely performed online, with Web conferencing software and webinars being utilised for team meetings and training sessions respectively (O’Brien 2012), and Enterprise Resource Planning (ERP) tools helping translators handle the commercial and financial aspects of translation projects (Foedisch 2017).

11It is interesting to see how the Web has rapidly transformed from a collaboration and communication platform only to increasingly being the source text itself. That is to say, the content featured on Computer-Mediated Communication (CMC) websites serves as the text to be translated. As Desjardins (2011) demonstrates, it is particularly visible in the localisation industry, where translators are more and more frequently commissioned to translate advertising campaigns delivered by means of social media, including social networking sites, such as Facebook or Twitter. She rightly observes that while translators may use social media for professional practices, thanks to the experience they gain, over time they also become better prepared to translate content distributed through that channel.

2.2 Skills and job requirements

12In order to be able to cope with this exponential increase in work modes, translators have to learn how to deal with an ever-changing, dynamic market reality. Consequently, they need to develop not only trade-related hard skills, but also a set of soft skills, or employability skills, which will permit them to act flexibly and respond to the circumstances of various professional contexts in which they are likely to find themselves. The skills may include: communication and media skills, teamwork skills, interpersonal skills, cultural awareness, flexibility, critical thinking skills or leadership skills (Schultz 2008; Bartel 2011; Mathias 2013). This idea finds corroboration in the expectations of LSPs towards university graduates who enter the job market, as reported e.g. by Brookes (2017), the professional development officer for the Institute of Translation and Interpreting, who affirms that LSPs require freelancers to display a degree of flexibility, availability and an understanding of how they fit into the translation process. In addition, she underlines that one of the prerequisites for success in the contemporary translation market is preparedness for life-long learning and the ability to plan their continuous professional development.

13In the same vein, Claudia Mirza (2017), CEO of Akorbi — one of the fastest growing LSPs in the world and a member of the Globalization and Localization Association, lists strong critical thinking skills, communication skills, problem-solving skills and collaboration skills among those she finds most necessary for translators of the future.

14It is all well illustrated by what is happening to the translation process in the wake of ubiquitous digitalisation. Increased interest in speedy delivery, even if it is achieved at the cost of quality, has spawned interest in the implementation of Machine Translation (MT), which requires translators to perform post-editing jobs rather than simply translating texts (Beens 2017). However frustrating it may be for translators at times, it is a fact now and it calls for them to develop new skills (Brookes 2017).

15Similarly, localization, which involves the translation of digital content — e.g. computer games, websites or online services — for an area-specific audience, requires a new set of skills which are much closer in origin to the domain of computer programming than to translation (Brookes 2017). After all, in order to translate computer games, mobile applications or websites, the translator needs to identify and access translatable content first, which without a knowledge of programming, they will find challenging as well as time consuming.

3. Rooting pedagogic adaptation in emergentist theories

16In the wake of the above, it seems reasonable to suggest that if translators are to be equipped with the aforementioned skills, they need to be educated within the framework of a new methodology, one that would break away with the transmissionist model of teaching and direct students towards teacher-independent learning and informed reflection.

17An answer to the apparent need for closing the employability gap (Massey 2017) — also referred to as the skills gap (Brookes 2017) — seems to be offered by emergentist epistemology, which has been promoted as a solution for translator education by Kiraly (2006; 2013; 2015). It relies on a number of theories, including Whitehead’s (1950) process theory, Davis’ complexity theory (Davis and Stimmt 2003) and van Lier’s (1996; 2000) ecological approach to language and language acquisition, with each making an important contribution to the theory at large. The process theory posits that the world is in a state of constant, dynamic development, thus it is difficult to draw a universally true picture of it which would be a valid reflection of reality. The complexity theory, which might be viewed as a possible reinterpretation of postmodernist thought (cf. Cilliers 1998), underlines the belief that knowledge is not a body of static, objectivised and transmittable truths, but rather a complex entity which emerges out of experience, constantly in flux and developing through fractal, self-similar and multifaceted experiences. Finally, the ecological approach to translation, inspired by van Lier (2000), puts the translation process in an environmental context, which goes beyond the source/target text and the cognitive processes which translation involves. It views translation as a situated event, affected by complex interactions between the actors involved in it as well as the physical objects used in its course.

18When brought together, the three approaches constitute a translation pedagogy which places the student at the centre of the learning process, in the middle of the experience gathered through participation in authentic, or near authentic, telecollaborative translation projects where the teacher only occasions (Kiraly 2015) — rather than transmits — knowledge, which emerges in the course of the experience itself.

19It must be underlined that learning outcomes in this case exceed declarative knowledge per se and extend to cover skills and awareness, which Kiraly (2013) perceives as a synergic product of a complex interplay of corporeal, personal and interpersonal dispositions, human and material resources, learning results and intuitions as well as memories. It is this multifarious bundle of interrelated traits which Kiraly labels “emergent competence” (Kiraly 2013: 11) — impossible to predict, situated (Risku 2014) and developed through interaction with others. To do justice to the emergentist approach, one must note that it also relies on Kiraly’s (2000) social-constructivist approach, which builds on Vygotsky’s (1978/1994; 1986) concept of the social construction of knowledge but also Dewey’s (1938) concept of learning through action.

20While Vygotsky emphasised the social nature of learning by claiming that “The true direction of the development of thinking is not from the individual to the social, but from the social to the individual” (Vygotsky 1986: 36), Dewey underlined the discovery of knowledge promoted by the learner’s hands-on learning experience, maintaining that: “[An individual] […] has to see on his own behalf and in his own way the relations between means and methods employed and results achieved. Nobody else can see for him, and he can’t see just by being ‘told’” (Dewey 2008: 57).

3.1 Web-based pedagogies

21Just as computer and Web-based technologies have affected the translation profession, so is telecollaboration, as a learning mode, likely to have an impact on how learners interact with one another, how they communicate and ultimately — how they learn. To realise the nature of this impact, it seems reasonable to articulate the cognitive and affective aspects of telecollaborative work modes and their material dimension, i.e. the digital technologies and tools utilised within them. In other words, it is necessary to examine the ecology of telecollaboration, its material context, in the same way as the materiality of translation has been examined in recent research in Translation Studies (cf. Desjardins 2011; Ehrensberger-Dow et al. 2015; Littau 2015).

22As Desjardins (2011) demonstrates, the development of the Web, from Web 1.0 to Web 3.0 technology, has apparently coincided with shifts in pedagogy, as the new functionalities offered by the technologies being introduced permitted educators and learners to design and perform, respectively, different types of learning tasks.

23The evolution of the Web first began with the introduction of Web-based services, commonly referred to as Web 1.0, which first and foremost created opportunities for the reception of information published on read-only websites. As the Web at that time relied on pre-digested content, it very much generated one-way online traffic in that Web users were limited in their actions to mostly searching and consulting data which were presented to them on the websites that they visited (Berners-Lee 1989). Due to its nature, when Web 1.0 technology was implemented in educational contexts, it produced a learning model biased towards content reception, whereby learners acted as passive knowledge recipients. In many ways, the content provided online through Web 1.0 technologies paralleled content which might equally have been presented offline (Prensky 2001), which usually happened in non-Web-based settings. This is why Bax (2003) referred to the Web 1.0-based developmental stage of Computer Assisted Language Learning (CALL) as the restrictive phase.

24The resultant learning epitomised the transmissionist paradigm, within which students acted as “containers for content (knowledge)” (Klimkowski 2015: 82), and learning occurred through the teacher-centred transfer of largely declarative knowledge, including rules, facts and principles, to be assimilated by the learners.

25In translation pedagogy, that kind of learning has to this day been part of the who-takes-the-next-sentence approach (Nord, 1996), which “thwarts student’s development of cognitive and metacognitive skills relating to translation/interpreting” (Klimkowski 2015: 85).

26The introduction of Web 2.0 marked a shift in (translation) pedagogy as, contrary to its read-only Web 1.0 predecessor, it was fundamentally a read-write Web (Dale Doherty 2004). Consequently, by permitting users not only to consult but also produce content, it promoted Web-based human-human interaction, which resulted in the development of methodologies within which students changed their role from that of passive knowledge recipients to that of active learners who would attempt to construct knowledge actively through social interaction. In addition, learners would no longer simply consult online content, but they would exercise telepresence, by congregating and collaborating online. The potential of the Web to foster communication generated opportunities for online social networking, e.g. the use of Facebook for educational purposes, which in Desjardins’ (2011) words, transformed learning into a form of socialising. As she reports, social networking empowers the teacher to mark his/her presence online, but it could also have a positive impact on the students’ perception of the teacher, thus bringing the teacher closer to the learners offline too. Interestingly enough, online presence on Facebook does not necessarily place the teacher in control of course content dissemination, as the platform’s interface equally permits all the participants of a virtual group to upload their own content (Desjardins 2011).

27Thanks to the affordances of Web 2.0, the transmissionist paradigm was replaced by the social-constructivist model of education, based on the ideas of Vygotsky (1974/1994), Wood et al. (1976), Bruner (1996) and Dewey (1916; 1938). Social-constructivist learning would rely on the concept of the community of practice, where learners could learn by interacting with others via synchronous (instant messaging) and asynchronous (online forums, wikis, social networking sites, or discussion groups) communication modes (Desjardins 2011). Learning became a social experience, collaborative in nature, and occurring in a setting where teacher and learner roles were much more balanced, with the teacher acting as a guide supporting the learning process, and the learners actively involved in the construction of knowledge. Thanks to social networking, learning could occur through peer-to-peer sharing, and the teaching content was diversified by the introduction of media-rich content (Desjardins 2011). This kind of learning is currently referred to as peeragogy (Corneli et al. 2016) — a distinct form of pedagogy which involves peer-to-peer learning, self-directed learning, as well as diffused and decentred leadership and assessment.

28In translation pedagogy, this kind of learning found endorsement in the writings of Kiraly (2000), Nord (2005) and Gonzáles-Davies (2005; 2017), who all advocate collaborative translation projects as a means by which to develop a range of translation competences. As Desjardins (2011) demonstrates, theses competences may be updated to cover a range of collaborative and digitised practices relating to modern-day translation, e.g. the localisation of digital media, including social networking sites and video games or the translation of online marketing campaigns.

29Web 3.0, referred to as the semantic Web (Berners-Lee 1989), converged digital resources and services in order to permit the customisation of content in congruence with the user’s needs. As Jenkins (2006) explains, the convergence of the Web, which enabled online applications — both desktop and mobile — to integrate and interoperate, has contributed to a further shift in pedagogy, this time towards the development of cross-disciplinary skills and higher-order skills (Bloom and Krathwohl 1956), e.g. critical thinking, synthesis or metacognitive skills. What is more, it promotes complex learning, which involves the convergence of skills (Weller 2007) and dovetails with Kiraly’s (2013; 2015) emergentist approach to translator education, where students participate in authentic translation projects in the course of which they are given the opportunity to develop complex translation skills while delivering a translation product to a genuine client.

30In emergentist pedagogy, knowledge is a complex adaptive system which emerges “through the translator’s embodied involvement (habitus) in actual translation experiences” (Kiraly 2013: 203), students are active knowledge seekers, while the teacher’s role is to occasion translator competence, which is a situated outcome of the dynamic interplay of human and material resources, personal, interpersonal and psycho-physical dispositions (Kiraly 2015). Within the emergentist approach, the teacher is no longer an expert to deliver the final word, but rather a learning partner — a co-learner.

31This kind of pedagogy can potentially facilitate learning in various contexts, e.g. foreign language learning (Kiraly and Signer 2017), but is has also been used in order to enhance translator education. Within the latter field, it consists in the implementation of collaborative translation projects, which have been administered and researched by Kiraly (2013; 2015), Kiraly and Hoffman (2016), Massey (2017) or Marczak (2017a; 2017b), where student teams perform translation jobs, frequently for a genuine client, while using online translation and communication technologies. As a result, they are given the opportunity to perform in various roles, explore translation through practice and co-learn by benefiting from their colleagues’ knowledge, skills and experience.

32Marczak and Krajka (2016) and Marczak (2016) investigated the potential of Web-based team translation projects, involving the use of social media, e.g. social networking sites, file-sharing services and online communicators, for developing a range of skills in translation students. In one of the projects, groups of students teleworked in order to compile a term bank containing entries relating to the area of Computer Assisted Translation by using a range of online tools, including Facebook Messenger, TitanPad, Google Live Docs. The project work involved Web-based searches for reference texts, parallel text alignment, term extraction with CAT tools (memoQ or PlusTools), data collection, database creation with CAT tools, and data transfer to a printable format through the Mail Merge functionality of Microsoft Word. The telecollaboration stage was preceded by face-to-face instruction in: Language for Special Purposes (LSP), the role of terminology in translation, terminology management and CAT/terminology tools.

33As the results of the post-project survey indicated, student satisfaction levels with the telecollaborative experience were high, with 100% of the participants reporting learning gains from participation in the project examined. Large proportions of students observed the project they had completed had been an opportunity for them to explore the nature of teamwork and participate in it and learn how to use Computer-Mediated Communication (CMC) tools and CAT tools. However, they had also reportedly had a chance to develop time management skills, emotion regulation skills, stress management skills, interpersonal skills and self-awareness, i.e. a number of transferable/soft skills.

34In another project (Marczak 2017a; 2017b), students telecollaborated in order to deliver the translation of a number of chapters from a book on hortitherapy, whereby they practised the use of cloud-based technology for the purpose of LSP translation. This example demonstrated novel forms of reflection, such as concordancer-enhanced reflection on in-project communication data, which may even further enrich students’ learning in telecollaborative settings with regard to the development of operational, cultural and critical literacies, as well as employability skills. What is more, such reflection enables students to look beyond their own communicative exchanges and into those of their colleagues, whereby they extend their project experience to the roles which they themselves have not been directly involved in. Vicarious as such extended experience may be, it is likely to build students’ increased awareness of a broader range of responsibilities, work modes, actions and problems which are potentially part and parcel of Web-based team translation.

35Emergentist translator education may rely on the use of social media to an even greater extent. Thanks to the ubiquitous nature of social networking sites and their common use, they increasingly constitute both the source text and modus operandi in contemporary translation. Desjardins (2011) suggests that they be used for projects where student translators get involved in “translating ‘tweets’, and ‘status updates’, uploading YouTube videos for newer translation technologies […] and participating in what came to be known as the ‘translation classroom community’” (Desjardins 2011: 186).

36This is an idea worth following, as it does not limit the learning experience merely to translation per se. Instead, it permits students to explore social media as a working environment, develop marketing skills, e.g. by designing “promotional Facebook pages for fictional translation companies” (Desjardins 2011: 186) or identify and explore the latest translation technologies. What is more, it all happens in a deeply democratised setting, where students not only find it easier to relate to their colleagues and the teacher thanks to the instantaneousness of the communication tools which they use, but where they also become more open in interactions with their colleagues. In addition, social media offer students an equal chance to receive learning content as well as to provide it themselves, which enables them to initiate learning, rather than only following the teacher. Finally, students’ increased confidence in social media may start to use it for the purpose of self-development at large, e.g. foreign language learning, which broadens their overall educational experience (Desjardins 2011). In some cases, social media may be the tool through which learning extends to contexts beyond institutionalised translator training as students can easily set up, run and participate in domain-specific learning communities even before they become full-fledged professionals; thus they give themselves a chance to genuinely experience the benefits of social learning as well appreciating the role of networking in professional development (Desjardins 2011; 2017).

3.2 Utilisation of CAT tools

37Apart from the use of a range of online technologies, be it communication or learning solutions, technology-enhanced translator education also — if not first and foremost — involves the use of CAT tools and other digital resources, e.g. Machine Translation, which have had a profound impact on the work modes which translation students — as well as professional translators, for that matter — implement. That kind of impact has also generated interest among Translation Studies researchers (O‘Brien 2007; 2012; Pym 2011; Koglin 2015; Law 2015; Bungaard et al. 2016).

38As Pym (2011) observed, technology constitutes an extension of the physical apparatus through which people interact with the world around them. It extends the human limbs (e.g. the arms), the senses (e.g. sight, hearing and touch), and people’s capacity to travel and interact with other cultures. Although he means technology in a very broad sense, he further narrows his interest to the impact of computer technology on the translation process per se and concludes that effects in the latter case are undeniable and multiple in nature.

39First of all, computer technology externalises the translator’s memory in that the translator can make use of: computer-stored translation memories, featuring previously translated segments of text; termbases, i.e. inventories of domain-specific terminology; MT systems, which handle the translation of texts on behalf of the translator in an automated manner; or quick-access online documentation. In principle, all the digital resources are supposed to accelerate — and thus assist — the translation process; however, it is often the case that they may actually have the opposite effect, thwarting the translator’s decision-making process by offering a list of multiple alternatives for the translator to choose from (Pym 2011).

40Pym (2011) also observes that the digitisation of translation breaks with the Saussurean syntagmatic axis of text, i.e. its linearity. Electronic texts can now be read vertically — in chunks, segments or with attention focused on lists of items offered by the spellchecker — rather than horizontally, i.e. from the beginning to the end, as has traditionally been the case. Due to the use of hypertext for website design, or the segmentation of the source text in CAT tools or MT systems, translators increasingly follow what Saussure referred to as the paradigmatic axis of language. In effect, they may easily lose track of the overall cohesion of the text. It is particularly likely to interfere with translation if the translator is making use of integrated technologies, such as translation memories, MT services, grammar and spell checkers as well as glossaries. Automatically, they tend to focus on the terminological or phraseological consistency based on a segment-by-segment analysis of the target text but, in effect, lose sight of the syntagmatic integrity of the text.

41While student translators and in-service translators start using modern CAT tools, which involve online technologies, they immediately shift the nature of their work from a considerably solitary activity to one involving telecollaboration, where responsibility does not lie solely with them but is

shared by a synchronic/networked project manager, coordinated team of translators/localizers, computer engineers, computer programmers, software developers, software engineers, localization engineers, terminologists, graphic designers, software publishers, localization vendors and so forth (Odactoglu and Kokturk 2015: 1089)

42What is more, as Pym (2011) observes, the digital nature of texts to be translated and the automation of translation also diversify the roles that student translators and professionals themselves need to adopt. Due to the volumes of text to be translated, the range of text formats, their multimodality and multimedia character, translation, and translator education as a result, necessitates project management, product engineering, marketing skills (Pym 2011), but also Web design, computer programming and social media skills (Desjardins 2017). Machine translation, in turn, requires human post-editing.

43All this may change translators’ and translation students’ perceptions of who they actually are and how they fit into the translation process, which may constitute a real challenge (O’Brien 2012; Brooks 2017). Due to the fact that these roles do not necessarily involve translation per se, translators are likely to feel that they no longer translate. For instance, as Brooks (2017) posits, translation students may have a feeling that LSPs have unrealistic expectations towards them with regard to the skills they should be equipped with, while those involved in post-editing could be under the impression that their professional status is being “demoted to the status of a fixer” (O’Brien 2012: 10), who does not even understand the mechanics of MT, is incapable of collaborating with the machine and may begin to distrust the technology in the long run. Post-editing may be perceived as a proofreading job, lacking in opportunities for creativity and generating low satisfaction levels. At the same time, the apparent demotion of translation could be at least in part redeemed by new challenges which translators face today, including the need to involve in marketing, social media management or cultural consulting.

44In effect, translator education seems to require a revision of the long-standing theories of translation taught so far, e.g. the Skopos Theory, so that they are updated with elements pertaining to computerised translation; only then will students of translation fully understand their place in the reality of digital translation, the tools they will need to use and the nature of the source and target texts they will have to work on (Odactoglu and Kokturk 2015).

4. Future outlook

45Apparently, the future is likely to hold even more change and innovation for stakeholders involved in education at large, including translator education. As the translation market and Web and translation technologies will continue to change under the influence of automation and innovation, so will — inevitably — translator education, whose primary task will be to prepare students for the imminent changes to come on the job market. Closing the skills gap is already a recurrent theme in the discourse on the future of translation (Brookes 2017; TAUS 2017), and so it will motivate the development of the objectives, work modes and tools in translator education.

46Increasing computerisation and automation, achieved through machine learning (TAUS 2017), will require students to act flexibly and develop the ability to skill and re-skill on demand, so that they can identify and fit into the professional niches where they will be able to function while working together with computers as well as for computers. According to TAUS (2017) predictions for the year 2022, in certain areas of the economy, computers will replace humans completely by reaching the level of sophistication at which they will be able to work with one another without the mediation of the human being at all.

47Consequently, the job market is likely to become an even more volatile place than today. While Frey and Osbourne (2013) estimate at the level of nearly 40 percent (38%) the capacity of the job of translators and interpreters to lend itself to computerisation, in the case of other translation-related jobs they cite much higher values, e.g. the probability index for proofreading is 84% and that for technical writing amounts to 89%.

48One should not take these figures as a case of scaremongering, nor should one simply believe in an inverse correlation between the rate of automation and employment. After all, automation means the re-structuring of the job market, rather than its liquidation, which finds confirmation in Pring’s (2017) prediction that although roughly 19 million people in the USA will face the automation of their jobs, 21 million new jobs will be created in the wake of that process. For instance, as machine translation might replace translators in transposing and updating domain-specific, fairly repetitive texts, at the same time it requires human post-editing. Thus, although it seemingly replaces the translator, it in fact simply requires the translator to perform a different job, which may indeed require high qualifications. De Faria Pires (2017) and Di Lorenzo and Cattelan (2018) confirm this by admitting that due to the largely improved fluency of output generated by contemporary neural machine translation systems, e.g. Deep L, the post-editor must be a highly skilled professional who will be capable of identifying and correcting errors obscured by the seemingly high quality of the machine-translated text.

49To respond to these changes and prepare students for highly specialised LSP jobs, completely new tools and further automation of the translation process, translator education will need to continue to implement student-focused work modes through which students will be able to learn how to independently seek, validate and update knowledge far beyond the point of graduation. Education is certain to take advantage of the affordances created by ever-evolving digital technologies, which can be illustrated by the development path predicted for Web-based resources.

50As Aghaei et al. (2012) posit, Web 4.0 is around the corner, and it will be “a read-write-execution-concurrency web with intelligent interactions […] a symbiotic web in which human mind and machines can interact in symbiosis” (Aghaei 2012: 2). Just as applications and services have already undergone the process of convergence under the development of Web 3.0, so are the processing powers of the human mind and the machine, i.e. the computer, expected to converge in the case on Web 4.0. Online interfaces will reach a higher degree of sophistication as they will not only be controlled by the human mind but — thanks to artificial intelligence — they will also interact in an intelligent manner with humans (Aghaei 2012). However vague the concept of Web 4.0 may sound, it seems to fit in perfectly with the latest trends in translation and translation technologies, which are beginning to increasingly rely on digital resources involving artificial intelligence, neural machine translation technologies, deep learning and voice-based solutions (Lionbridge 2017).

51If Web 4.0 is to act as webOS, a near-human intelligent operating system, capable of sophisticated interactions with humans (Aghaei 2012), one may predict that (translator) education is about to shift towards the implementation of learning modes which will involve not only human-human interaction but also seamless human-computer interaction. The learning outcomes will, perhaps, be produced by the synergy effect of computer and human processing/mental powers, where learners will be learning through, and together with, computers, just as today they are expected to explore and construct knowledge together with peers and the teacher. The learning tool may become a learning partner.

52Consequently, if Kiraly’s (2013) perception of translator competence as context-based and surfacing in a particular translatory moment is correct, it may be speculated that, perhaps — as a result of Web-4.0-based learning — the competence will emerge as an interplay of not only human and material resources, memories, students’ personal and interpersonal dispositions, psycho-corporeal dispositions and learning results and intuitions, but — possibly — also the memories and learning results of the computer itself. What is more, this interplay might additionally involve artificial intuition, which might be developed in the course of further work on the development of artificial intelligence (see Perez 2017; 2018).

53Overall, the evolution of computer technology may have increasingly been democratising the learning process, with the teacher relinquishing more and more control to the students, and the students integrating more and more with the converged technologies available to them on a daily basis; and this could be the path education will follow in the years to come.

Top of page


Aghaei, Sareh, M.A. Nematnakhsh, H.K. Forsani. “Evolution of the World Wide Web: From Web 1.0 to Web 4.0.” International Journal of Web & Semantic Technology 3(1) 2012: 1-10.

Bartel, Joan. Soft skills: what, why and how to teach them in ESL classes using Office Soft Skills. A summary of the conference presentation at the TESL Toronto Spring Conference, May 2011.

Bax, Stephen, A. Chamber, “CALL — past, present and future.” System 31(1) 2013: 13-28. DOI: 10.1016/S0346-251X(02)00071-4

Beens, Peter. Five trends that defined the translation industry in 2017.

Belén, Bistué. Collaborative Translation and Multi-Version Texts in Early Modern Europe. London and New York: Routledge, 2013.

Berners-Lee, Tim. The World Wide Web: A Very Short Personal History, 1998.

Bloom, Benjamin S., Max D. Engelhart, Edward J. Furst, Walker H. Hill, David R. Krathwohl. Taxonomy of Educational Objectives: The Classification of Educational Goals, by a committee of college and university examiners. Handbook I: Cognitive Domain. New York: Longmans, Green, 1956.

Bondarenko, Oleksandr. “Academia expectations versus industry reality.” MultiLingual 26(8) 2015: 31-4.

Brookes, Ann. Bridging the skills gap.

Bruner, Jerome. The Culture of Education, Cambridge, MA: Harvard UP, 1996.

Bungaard, Kristine, Tina Paulsen Christensen, Anne Schjoldager. “Translation-computer interaction in action — an observational process study of computer-aided translation.” The Journal of Specialised Translation 25, 2016: 106-130.

Choudhury, Rahzeb and Brian McConnell. Translation Technology Landscape Report. TAUS BV, DeRijp, 2013.

Cilliers, Paul. Complexity and Postmodernism. Understanding complex systems. London: Routledge, 1998.

Corneli, Joseph, Charles Jeffrey Danoff, Charlotte Pierce, Paola Ricaurte and Lisa Snow MacDonald, eds. The Peeragogy Handbook. 3rd ed. Chicago, IL./Somerville, MA.: PubDomEd/Pierce Press, 2016.

de Faria Pires, Loïc. How will Neural MT revolutionise translation practice? State of play. Conference paper delivered at Translata III, Innsbruck, Austria, 7 Dec. 2017.

Cronin, Michael. Translation and globalization. London: Routledge, 2003.

Davis, Brent, Elaine Simmt. “Understanding Learning Systems: Mathematics Teaching and Complexity Systems.” Journal for Research in Mathematics Education 34(2) 2003: 137-167. DOI: 10.2307/30034903

DePalma, Donald A., Hélène Pielmeier, Robert G. Stewart, Stephen Henderson. The Language Services Market: 2016, 2016.

DePalma, Donald A., Robert G. Stewart, Arle Lommel, Hélène Pielmeier. The Language Services Market: 2017, 2017.

Desjardins, Reneé. “Facebook me!: Initial insights into favour of using social networking as a tool for translator training.” Linguistica Antwerpensia 10 (2011): 175-194.

Desjardins, Reneé. Translation and Social Media: In Theory, in Training and in Professional Practice. New York: Palgrave Macmillan, 2017.

Dewey, John. Democracy and Education: An introduction to the philosophy of education. New York: Macmillan, 1916.

Dewey, John. Experience and Education. New York: Simon & Schuster, 1938.

Di Lorenzo, Claudia, Alessandro Cattelan. Phrase-Based MT vs. Neural MT. Which Helps Translators the Most? Webinar delivered on 10 Jan. 2018.

Directorate-General for Translation. European Commission. The study on the size of the language industry in Europe, 2009.

Drugan, Joanna. Quality in professional translation: Assessment and improvement. London: Bloomsbury, 2013.

Ehrensberger-Dow, Maureen, Andrea Hunziker Heeb, Gary Massey, Ursula Meidert, Silke Neumann, and Heidrun Becker. “An International Survey of The Ergonomics of Professional Translation.” ILCEA 27 (2016): 1-21.

Foedisch, Melanie. Researching Technological Changes in Translation Production: An outline of the application of practice theory to translation. Paper delivered at the Portsmouth Translation Conference: “Translation and Disruption: Global and local perspectives”, 4 Nov. 2017.

Frey, Carl Benedikt, Michael A. Osborne. The Future of Employment: How Susceptible Are Jobs to Computerisation? 2013

Gonzáles-Davies, Maria. “Minding the process, Improving the product: Alternatives to traditional translator training.” In Martha Tennent, ed. Training for the new millennium. Pedagogies for translation and interpreting. Amsterdam: John Benjamins Publishing Company, 2005: 67-82.

Gonzáles-Davies, Maria. “A Collaborative Pedagogy for Translation.” In Lawrence Venuti (ed). Teaching Translation. Programs, Courses, Pedagogies. London/New York: Routledge, 2017.

Göpferich, Susanne. Translationsprozessforschung. Tübingen: Gunter Narr, 2008.

Jenkins, Henry. Fans, bloggers, and gamers. New York: New York UP, 2006.

Kiraly, Donald, Sarah Signer. Scaffolded Language Emergence in the Classroom: From Theory to Practice. Berlin: Frank & Timme GmbH, 2017.

Kiraly, Donald. “Beyond Social Constructivism: Complexity Theory and Translator Education.” Translation and Interpreting Studies 6(1) 2006: 68–86. DOI: 10.1075/tis.1.1.05kir

Kiraly, Donald. “Towards a View of Translator Competence as an Emergent Phenomenon: Thinking Outside the Box(es) in Translator Education.” In Don C. Kiraly, S. Hansen-Schirra, K. Maksymsk, eds. New Prospects and Perspectives for Educating Language Mediators. Tübingen: Narr Verlag, 2013: 197-224.

Kiraly, Donald. “Occasioning Translator Competence: Moving Beyond Social Constructivism Toward a Postmodern Alternative to Instructionism.” Translation and Interpreting Studies, 10(1) 2015: 8-32. DOI: 10.1075/tis.10.1.02kir

Kiraly, Donald and Sascha Hoffman. “Towards a Postpositivist Curriculum Development Model for Translator Education.” In Don C. Kiraly, ed. V&R academic. Towards authentic experiential learning in translator education. Mainz UP, Göttingen: V&R Unipress, 2016: 67-88.

Koglin, Arlene. Cognitive effort in human translation and post-editing: An analysis of pupil dilation and fixation duration on metaphors. Paper presented at 5th IATIS Conference: “Innovation Paths in Translation and Intercultural Studies”, Belo Horizonte, 2015.

Kukulska-Hulme, Agnes, Lucy Norris, Jim Donohue. Mobile pedagogy for English language teaching: a guide for teachers. London: British Council, 2015.

Klimkowski, Konrad. Towards a Shared Curriculum in Translator and Interpreter Education. Languages in Contact 3. Wrocław, Washington, D.C.: Wydawnictwo Wyższej Szkoły Filologicznej; PAN. Oddział; International Communicology Institute, 2015.

Law, Melanie, Haidee Kruge. “How editors read: An eye-tracking study of the effects of editorial experience and task instruction on reading behaviour”. Paper presented at the 5th IATIS Conference: “Innovation Paths in Translation and Intercultural Studies”, Belo Horizonte, 2015.

Lionbridge Marketing. Neural Machine Translation: How Artificial Intelligence Works When Translating Language, 17 Feb. 2017.

Littau, Karin. “Translation and the materialities of communication.” Translation Studies 9(1) 2015: 82–96. DOI: 10.1080/14781700.2015.1063449

Marczak, Mariusz. Fostering the Development of Soft Skills in Telecollaborative Translation Projects: From Experience to Corpus-Based Reflection. Unpublished paper delivered at “Points of View on Translation and Interpreting”, Cracow, Poland, 22 June, 2017a.

Marczak, Mariusz. “Concordancer-Enhanced Reflection in Telecollaborative Translation Projects at University Level.” Między oryginałem a przekładem 38, 2017b: 145-168. DOI: 10.12797/MOaP.23.2017.38.07

Marczak, Mariusz. “Students’ perspective on Web 2.0-enhanced telecollaboration as added value in translator education.” In Sake Jager, Małgorzata Kurek, Breffni O'Rourke, eds. New directions in telecollaborative research and practice: selected papers from the second conference on telecollaboration in higher education. Dublin, Ireland:, 2016: 245-252. DOI: 10.14705/rpnet.2016.telecollab2016.514

Marczak, Mariusz and J. Krajka. “Translator Education in the Cloud: Students‘ Perceptions of Telecollaborative Experiences.” In Eugenia Smyrnova-Trybulska, ed. E-Learning Methodology — Implementation and Evaluation. Katowice-Cieszyn: NOA for University of Silesia, 2016: 369-388.

Mathias, Arun John. Introduction to Soft Skills, 2013. [Last accessed on 24 April 2015] [Archived:]

Mirza, Claudia. “Translators of the Future: What Skills Do You Need?”. GALA Globalization and Localization Association, 6 June 2017.

Mrochen, Izabela. “Translating in the Cloud: New Digital Skills and the Open Source Movement. In Eugenia Smyrnova-Trybulska, ed. E-learning and Intercultural Competences Development in Different Countries. Katowice-Cieszyn: University of Silesia, 2014: 279-298.

Nord, Christiane “Wer nimmt denn mal den ersten Satz? Uberlegungen zu neuen Arbeitsformen im Ubersetzungsunterricht.” In Angelika Lauer, Heidrun Gerzymisch-Arbogast, Johann Haller, Erich Steiner, eds. Translationwissenschaft im Umbruch. Festschrift für Wolfram Wilss. Tubingen: Gunter Narr Verlag, 1996: 313–327.

O’Brien, Sharon “Eye-Tracking and Translation Memory Matches.” Perspectives: Studies in Translatology 14(3) 2007: 185-205. DOI: 10.1080/09076760708669037

O’Brien, Sharon.Translation as human–computer interaction.” Translation Spaces 1(1), 2012: 101-122. DOI: 10.1075/ts.1.05obr

Odactoglu, Mehmet Cem, Saban Kokturk. “The effects of technology on translation students in academic translation teaching.” Procedia - Social and Behavioral Sciences 197, 2015: 1085-1094. DOI: 10.1016/j.sbspro.2015.07.349

Orlando, Marc. Training 21st Century Translators and Interpreters: At the Crossroads of Practice, Research and Pedagogy. Berlin: Frank & Timme GmbH, 2016.

Perez, Carlos E. The Deep Learning AI Playbook. Strategy for Disruptive Artificial Intelligence. USA: Intuition Machine, Inc., 2017.

Perez, Carlos E. Artificial Intuition. The Improbable Deep Learning Revolution. USA: Intuition Machine, Inc., 2018.

Prensky, Marc. “Digital Natives, Digital Immigrants.” On the Horizon, 9(5) 2001: 1-6.

Pring, Ben, Malcom Frank and Paul Roehrig. What to Do When Machines Do Everything. Hoboken: John Wiley and Sons, 2017.

Pym, Anthony. “What technology does to translating”. Translation and Interpreting 3(1) 2011: 1-9.

Pym, Anthony. “Teaching what you don’t know: the challenge of future technologies.” Unpublished plenary paper delivered at “Inspirations for Translation Pedagogy.” 1st CTER Congress, Cracow, Poland, 14 March 2016.

Risku, Hanna. “Situatedness in translation studies.” Cognitive Systems Research (3) 2002: 523-533. DOI: 10.1016/S1389-0417(02)00055-4

Schaffner, Christina. “An integrated approach to translator education: didactic challenges.” Unpublished paper, “Inspirations for Translation Pedagogy.” 1st CTER Congress, Cracow, Poland, 14 March 2016.

Schultz, Bernd. “The Importance of Soft Skills: Education beyond academic knowledge.” Journal of Language and Communication June 2008: 146-154.

TAUS. “The Translation Industry in 2022.” A report from the TAUS Industry Summit, Amsterdam, March 22-24, 2017.

US Bureau of Labor Statistics. Occupational Outlook Handbook. Interpreters and Translators, Jan. 2018.

Van Lier, Leo. Interaction in the language curriculum: Awareness, autonomy & authenticity. London: Longman, 1996.

Van Lier, Leo. “From Input to Affordance: Social-interactive Learning from an Ecological Perspective” In James Lantolf, ed. Sociocultural Theory and Second Language Learning. Oxford: Oxford UP, 2000: 254–269.

Vygotsky, Lev S. Thought and Language. (Newly revised and ed. by Alex Kozulin). Cambridge: The MIT Press, 1986.

Vygotsky, Lev S. “Extracts from Thought and Language and Mind in Society”. In Barry Stierer and Janet Maybin, eds. Language, literacy and learning. Clevedon: Multilingual Matters, 1994: 45–58.

Weller, Martin. Virtual Learning Environments. Using, Choosing and Developing Your VLE. London: Routledge, 2007.

Whitehead, Alfred N. Principia Mathematica. Vol. 2. 2nd ed. Cambridge: Cambridge UP, 1950.

Wood, David, Jerome S. Bruner, Gail Ross. “The role of tutoring in problem solving.” Journal of Child Psychology and Psychiatry 17(2) 1976: 89-100. DOI: 10.1111/j.1469-7610.1976.tb00381.x

Top of page


Electronic reference

Mariusz Marczak, Translation Pedagogy in the Digital AgeAngles [Online], 7 | 2018, Online since 01 November 2018, connection on 18 August 2022. URL:; DOI:

Top of page

About the author

Mariusz Marczak

Mariusz Marczak holds a PhD in Linguistics and is Assistant Professor in the Chair for Translation Studies and Intercultural Communication at the Jagiellonian University in Krakow, Poland. He is a translator educator with over 20 years’ experience in ELT teacher training. For over 10 years he was educational consultant for the British Council Poland and in the years 2014-2015 worked as researcher for the Educational Research Institute (IBE) in Warsaw. Currently, he is a textbook appraisal expert for the Polish Ministry of Education, a reviewer for a number of academic journals, e.g. TEwT (Poland) and English Langue Teaching (Canada), a member of several professional organizations, e.g. The Polish Association of Applied Linguistics, and Secretary of the Consortium for Translation Education Research (CTER). He is the author of a large number of publications in Glottodidactics and translator education. His research interests include the implementation of information and communication technology in translator education, telecollaborative learning and the development of intercultural competence. Contact: mariusz.marczak [at]

Top of page


CC BY 4.0

Creative Commons - Attribution 4.0 International - CC BY 4.0

Top of page
Search OpenEdition Search

You will be redirected to OpenEdition Search