#Deepl translator google professional

It is aimed to discuss to what extend the contents of these curricula and courses may fulfill the needs of Translation/Interpreting market in Turkey and to bring suggestions to this end. This paper analyzes and evaluates the curricula and course contents of some of these programs. Contrary to Departments of Translation and Interpreting that provide a four-year undergraduate education and include many preliminary courses before the direct lectures of translation/interpreting in their curricula, these Associate Degree Programs provide a two-year education.

Many universities have started to give place to these programs within the body of their Vocational Schools. The analysis reveals a change in the students’ attitudes and perceptions they report a more positive attitude toward MT and PE, they are more confident and faster, while they avoid over-editing.Īs an indicator of ever-increasing interest and demand to English language and the profession of translation/interpreting, the number of Applied English and Translation Programs offering Associate Degree has increased in Turkey in recent years.

Questionnaires are used to capture their attitudes and perceptions, a calculation of the technical effort and the temporal effort expended by the students while post-editing is also used, while a human evaluation of he post-edited output is carried out to assess their performance and the quality of the post-edited texts. Under that light, this study aims to investigate the attitudes and perceptions of undergraduate translation students towards MT and PE and their performance before and after they receive training in MT and PE. In addition, attitudes to MT and PE seem to affect PE effort and performance (Witczak, 2016 Çetiner and İşisağ, 2019). Yet, translators still approach PE with caution and scepticism and question its real benefits (Koponen 2012 Gaspari et al 2014 Moorkens 2018).

Nowadays, MT output is used as raw translation to be further post-edited by a translator (Lommel and DePalma, 2016). In an effort to meet the demands in speed, productivity and low-cost, the translation industry has turned to Machine Translation (MT) and Post-editing (PE). This paper reflects on the impact that automation and, more specifically machine translation and computer assisted tools, have and will have on the future training of translators and on the balance given by translation companies to language and technological skills. There have indeed been efforts to incorporate the teaching of digital translation tools and new technologies in the translation classroom (Doherty/Kenny/Way 2012 Doherty/Moorkens 2013 Aus-termühl 2013 O'Hagan 2013 Gaspari/Almaghout/Doherty 2015 Moorkens 2017) and many translation programmes in Europe are adapting their curricula to incorporate this necessary technological competence (Rothwell/Svoboda 2017). Translation trainers are not oblivious to this phenomenon. The translation profession has also experienced the impact of new technologies with Language Service Providers adapting to changes (Presas/Cid-Leal/Torres-Hos-tench 2016 Sakamoto/Rodríguez de Céspedes/Evans/Berthaud 2017). As translator trainers we asked ourselves: Why not use post-editing of automatic translated texts as a chance for translation pedagogy and focus on diagnosis and therapy of those errors still made by MT as a means to improve command in both, mother and second language?Īutomation is affecting all spheres of our daily lives and humans are adapting both to the challenges that it poses and the benefits that it brings. But in recent times, new systems have been developed called Neural Machine Translation (NMT), and the output quality is reasonably good. Related to specialized texts, and after a time of training, meanwhile MT systems managed to produce quite acceptable results and help to translate faster. The reason was that MT usually produced a poor outcome whenever it was not applied for controlled language of pre-edited texts within a specific field of expertise, and with post-edition of the target text. Students were warned to use Google Translate in their assignments or exams, and would be punished if they did.

#Deepl translator google professional

Over the past years, whenever we read about using machine translation (MT) we were advised that it was not suitable for regular professional translation.