The Future of Machine Translation Is Here: AI Translation
There has been a misconception about machine translation tools that they could only be useful in producing simple and uncomplicated materials during translation, and or localization processes. On the other hand, machine translation tools are no same as their older versions.
Since the emergence of “machine learning”, machine translation engines have constantly evolved. Although machine translation systems at first could not meet the expectations of customers as much; nowadays AI translation approaches have been widely used in the localization industry more than ever.
AI translation systems utilize deep learning algorithms by which they are able to grasp the meanings of words, phrases, structures, and tone of voice by using a vast amount of linguistic data produced by competent translators, editors, and proofreaders. This way, AI systems can “comprehend” languages by simulating neural networks of human brain as it is crucial to process human language, in order to reproduce texts or speeches in this manner.
What AI translation offers:
• Easier process of translation/localization
• Lower costs
• High speed
• High quality
• Customized quality
• Extensive language option
AI systems are now seen as a key factor in producing faster translations in different expertises. With the help of a team which is made up of expert translators, pre-editors, post-editors, redactors, ICRs, and quality experts; AI translation models are able to provide specialized solutions to every customer needs and expectations, therefore they can be used in a wider spectrum without hesitation.
No more humans?
Although machine translation systems produce more natural and fluent outputs better than ever, humans still play a crucial role for contents that require customized localization solutions to help these contents be more adaptive to different cultures. At this point, post-editing process by expert translators will assist machines to overcome the barriers of human cultural values. Thus, both costs of producing better quality outputs in the target language, and time that it takes to produce localization outputs decreases. Therefore, AI-assissted machine translation systems should not be considered as an eliminator choice upon humans, rather they should be accepted as an assistant to guide the new era ahead us!
References:
https://www.getblend.com/blog/ai-translation/
https://blog.pangeanic.com/ai-translation-the-future-of-language-learning
