In a world where boundaries between countries are becoming increasingly blurred and international trade is common, communication has never been more important. Translating from one language to another has become the norm with demand for services rapidly rising.
This burgeoning market has led to the development of a range of automated translation tools and bots which offer an instant response. However, the question remains whether AI can ever really take the place of human translators. Here’s a closer examination of the subject along with the challenges that AI translation faces.
There may be times when an instant translation is needed and unless you’re equipped with the linguistic skills yourself, input from a translator will be necessary.
This is where automated translation tools such as Google Translate can step into the breach, offering benefits such as:
- Constant availability around the clock
- Instant results
- Wide range of languages offered
For many people, automated translation services and bots fulfil their translation needs, providing a good overview of the native text which is sufficient for understanding.
However, despite this development in technology, automated translation services don’t tick every box.
The problems with AI translation
While no-one can deny the convenience of automated translation, there are limitations as to how and where it can be used.
- Lack of context or cultural references. Automated translation tools only provide a literal interpretation of text.
- No regional or dialect translations
- Difficulty with technical information
All of this means that while automated translation tools work well to get a general understanding, it doesn’t work well for more complex or sophisticated text when a more accurate interpretation is required.
There is another major concern: data protection. In the current legislative climate, problems with data protection are of huge significance.
With GDPR high on the agenda, using automated translation services could cause a serious conflict, leaving you exposed to the risk of intellectual property theft.
After recognising the limitations of AI translation, where does this leave the future?
It’s fair to say that automated translation has firmly established itself as a solution, but this solution has limitations and won’t always be able to adequately fulfil the need. The future of translation therefore is likely to be a fusion of human and AI translation, with both offering different types of services which complement each other.
If you have extensive translation needs, the most economical approach would be to find an organisation that offers a combination of machine and human translation services. This ensures there are no unintentional cultural faux pas and you can avoid any issues with data protection for confidential information.