The Wave of the Future: Machine Translation Trends
One of the most significant trends in machine translation is the increasing use of neural networks. According to a recent article, “Lionbridge’s R&D teams estimate that Neural Machine Translation is improving by 3-7% every year."
As neural networks advance mimicking the way the human brain works, they'll prove to be very effective at translating more complex text, leading to further applications of neural machine translation.
Industry Specific AI Machine Translations
Advances in AI machine translation will allow language bosnia and herzegovina mobile database companies to translate technical documents for specialized industries with less human editing. Data from social media and other online sources can be used to train machine translation systems.
Training improves the accuracy of specific types of translated texts, such as technical documents or legal documents. Over time, systems will move to automated translation as neural networks become large enough to reliably use automated processes.
Automated Translation Platforms
Automated translation platforms will emerge, seeking to compete with Google’s Zero-Shot Machine Translation technology, which can automatically translate between multiple languages without any human intervention.
The recently unveiled technology is based on a new approach to machine translation that doesn't require the usual training data consisting of millions of examples of translated text. However, Zero-Shot Machine Translation is still in its infancy and requires human monitoring to ensure accuracy.