Recent advances in artificial intelligence and machine translation have created the ability for Neural Machine Translation (NMT) to become a force to be reckoned with.
Surpassing the intelligence of Statistical Machine Technology (SMT) which uses masses of stored data to translate text, NMT uses computing systems, inspired by the human brain, that are capable of learning and evolving through examples.
NMT models use deep learning and representation learning. They require only a fraction of the memory needed by traditional SMT and all parts of the neural translation model are trained jointly to maximize the translation performance.
This gives a machine that is capable of predicting translations, through its previous learned experience, giving a fast, near-perfect translation that can be utilised through voice technology and has an almost instant response time, as in the recently unveiled Google Pixel buds.
Globalisation and the language barrier
Globalisation has created the need for fast-paced multi-lingual content; the internet, websites and social media have given us the ability to sell, buy, advertise, and invest in virtually any part of the world. But, to do this successfully, we need to be able to communicate with each other, at speed.
Neural Machine Translation has evolved to assist with the task of translating text, or speech, at high speeds, even languages such as Arabic, Chinese and Japanese have become easier to translate using NMT systems, and when used wisely, and correctly, can offer a good translation.
Many major players in technological fields have been busy developing equipment that goes beyond SMT in attempts to advance translation systems and global communications.
Google launched its original ‘Translate’ in 2006, and only ten years later, the Google Neural Machine Translation System (GNMT) was launched. Microsoft have been busy developing too – the company’s Translator is a cloud-based automatic translation service. Amazon now have their own
If your business is a global concern, the probability that you will require translation services are high. Communicating in your customer’s native language is key to encouraging growth in new regions, providing a quality customer service, and gaining repeat business.
Uses for Neural Machine Translation
The growth of mobile devices, social media networks, and an increase in e-commerce, are the contributing factors towards the need for localization and translation services.
NMT has been proven to surpass other machine translation models and is expected to gain a market size of $45.8 billion by 2023.
Investment in translation and localization services are a must if you plan to conduct a global business and NMT will assist with this process.
NMT is useful in all situations where there is a need for local translation. A service, product, support or training, will be enhanced with NMT. Banking, hospitality, retail, healthcare and e-learning are areas that could benefit from using NMT.
Where education and training are concerned though, NMT offers the ability for individuals and organisations to unlock communication routes and facilitate conversation without barriers.
The travel industry, teaching, linguistics, and e-commerce are likely to be revolutionised by the use of future NMT systems and should be able to deliver an effective experience for customers around the world.
Whether it’s for expansion of your markets, offering a service, providing training or communicating with friends in other countries, NMT can be effective in surpassing language barriers and enabling a multi-cultural experience for users.
The demand for a global audience has never been greater than it is today and with NMT systems offering fast translations, this demand could well be fulfilled. Neural Machine Translation may well be the next big thing.
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