The Limitations of AI in Translation

The Limitations of AI in Translation

It is no secret that Artificial Intelligence is quickly becoming an irremovable part of every professional industry today, and the field of translation is no exception. On the contrary, it is one of the sectors witnessing the greatest impact of AI, with new softwares playing a dominant role in translating texts worldwide. Unsurprisingly, this phenomenon has led to some concern among pre-existing and aspiring translators: is their career safe, or it is soon to be usurped by the power of technology? Well, whilst we certainly cannot deny the great skill and efficiency of AI, we cannot underplay its shortcomings. It is for this reason that AI in translation is best viewed as an assisting tool, rather than something equipped to take on the job all by itself. This is because, no matter how advanced AI becomes, there is still something unique about the human touch.

Nuance and Subtlety

Perhaps the most prevalent drawback of AI in translation is its inability to fully understand all the subtleties and true implications of a text, often providing a more literal translation that does not account for sarcasm, metaphors or other features of language that do not rely on pure denotation. Therefore, using an entirely AI-generated translation can lead to some pretty confusing or clunky phrasing, as well as sacrificing the true message that the text is trying to convey.

Tone and Personal Flare

Similarly, AI struggles to understand the differences between tones and registers as successfully as humans can, often making texts too formal or not formal enough. It may not be attuned to the unique voice of the writer and fail to convey their own personal flare in translation, opting for a more direct translation instead. This means that readers lose out on receiving the writer’s unique style and voice in writing, which leads to a completely different response to the text.

Context Awareness

Even with its access to a bounty of information, AI may not fully understand all of the context that informs a piece of writing, and therefore find mistakes that are not actually mistakes, but rather require an in-depth understanding of the text’s background in order to be understood. This again highlights how the human touch is so vital: AI cannot understand the significance of a company’s history or the inside jokes of a personal story like a real person can.

Complex Language Challenges

The source language can provide a lot of difficulties for AI, both in terms of technical vocabulary and the language’s broader morphology. Firstly, less commonly-spoken and endangered languages often don’t have a lot of content documented online, and so the AI may lack sufficient resources to provide a complete translation. Also, even more popular languages that have complex grammatical features, such as lots of cases or tenses, may prove a challenge for AI to tackle, whilst a native speaker will have little issue. In these cases, AI alone simply won’t cut it.

As we can observe, though AI certainly has its strengths, it’s not exactly short of weaknesses either. We do not need to avoid AI if it can make the work of translation better and more efficient, but nor should we depend on it entirely. The skill, dedication and flare of the translator should never be overlooked.