The HIPAA Privacy Rule was developed in response to the healthcare sector's growing reliance on information technology to enhance service delivery efficiency. Thus, the intention behind it is to protect data privacy in a complex landscape such as...
Back translation and synthetic data are two popular and common techniques used to augment training datasets for Machine Translation (MT) systems and to enhance their performance.
The European Commission has announced its entry into the field of machine translation with the aim of streamlining the dissemination of its press releases in various languages. Since last Monday, the institution has begun using machine translation...
The arrival of deep learning poses a particularly optimistic conundrum in the development of Artificial Intelligence: what if machines were capable of learning on their own, in the same way that we humans do?
If you are a content manager and own a business, you know how much time writing takes. One of your writers may produce content for your blog every week, for example, a content-rich article of about 1,000 words. It soon adds up to 10,000 words of...
The rise of eLearning has made education more accessible than ever before. The eLearning industry is valued at $315B in revenue, which makes it a lucrative sector many companies are stepping into. However, eLearning providers face one challenge:...
Immediacy, privacy, personalization, flexibility and financial viability are just some of the advantages of machine translation. This technology can even facilitate the tasks associated with content management.
It's not just about converting words...
Machine translation software is the best solution for companies that are internationalizing their business and need to build a strong relationship with wider audiences, languages, and cultures. All this while guaranteeing data protection and...
Statistical machine translation, known asSMT or StatMT, is an approach to machine translation that yields the most probable output (translation) of each element that makes up a sentence. It is based on the use of statistical models that analyze and...
Neural machine translation has enabled astonishing advances in natural language processing. This is a machine translation model that uses neural networks to interpret an input sentence in one language and generate the equivalent sentence in another.
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