AI and ma­chine trans­la­tion in the trans­la­tion industry

Today, not a single in­dustry can afford to ignore ar­ti­fi­cial in­tel­li­gence (AI). This in­cludes lan­guage ser­vice pro­vi­ders in the fields of trans­la­tion and in­ter­pre­ting. We do not want to ignore these new de­ve­lo­p­ments either as they can bring many be­ne­fits to our cus­to­mers and our working processes.

Ar­ti­fi­cial in­tel­li­gence and ma­chine trans­la­tion have re­vo­lu­tio­nised the way in which we deal with lan­guages and communication.

In our view, the in­te­gra­tion of ar­ti­fi­cial in­tel­li­gence and ma­chine trans­la­tion creates a si­gni­fi­cant op­por­tu­nity but does pre­sent a clear chall­enge. The rapid de­ve­lo­p­ment of these tech­no­lo­gies has trans­formed the trans­la­tion in­dustry, of­fe­ring both ef­fi­ci­ency gains and the emer­gence of new busi­ness models.

AI-powered ma­chine trans­la­tion pro­vides si­gni­fi­cant be­ne­fits in terms of speed and cost ef­fi­ci­ency. Po­pular tools like Sy­s­tran and DeepL can trans­late vast amounts of text in a matter se­conds, often de­li­ve­ring sa­tis­fac­tory qua­lity. These tools are best suited to trans­la­ting ge­neral texts or do­cu­ments wi­t­hout sen­si­tive in­for­ma­tion, as they can be trans­lated faster and more cost effectively.

A cru­cial factor is de­li­ve­ring qua­lity when it comes to more com­plex texts, where subtle mea­nings or cul­tural nu­ances are key.  Trans­la­tions of tech­nical texts in­vol­ving spe­cific ter­mi­no­logy often fall short of ex­pec­ta­tions. This also ap­plies to lan­guages that are rarely lo­ca­lised, such as Urdu, Kur­manji or Mal­tese, as com­pa­ra­tively few ma­te­rials exist to train the machine.

This is where the ex­per­tise of human trans­la­tors comes in. As an in­no­va­tive, cus­tomer-cen­tric trans­la­tion agency, we don’t re­place human trans­la­tors with AI-based sys­tems. In­s­tead, we le­verage them as a va­luable tool to enhance and stream­line the trans­la­tion pro­cess. An AI tool can ge­ne­rate an in­itial draft, for in­s­tance, which is then fine-tuned by our skilled teams of trans­la­tors. This step gua­ran­tees that the text has pre­cisely the right style, idio­matic ex­pres­sions, and overall content.

With our AI-sup­ported sys­tems, we can cross-check the trans­la­tion using da­ta­bases and pre­vious pro­jects to pin­point in­con­sis­ten­cies and im­prove quality.

Ul­ti­m­ately, the com­bi­na­tion of AI and human ex­per­tise is un­lo­cking new op­por­tu­ni­ties for the trans­la­tion in­dustry. We are able to pro­vide our ser­vices more ef­fi­ci­ently and cost-ef­fec­tively, while uphol­ding the high qua­lity stan­dards our cus­to­mers rightly expect. Th­rough this ap­proach, we are bridging the gap bet­ween tra­di­tional busi­ness models and the di­gital landscape.

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