How has machine translation technology improved?

How has machine translation technology improved? Over the past decade, artificial intelligence (AI) has made machine translation a leap forward. As a result, we are now able to translate languages ​​more accurately and efficiently than ever before. What is interesting to see is how machine translation has evolved to interact with other technologies that coexist with humans. Advances in machine translation are making access to products, services and knowledge possible and giving people what they need, no matter what language they speak.

In today's blog, we'd like to explore the current state of machine translation at the forefront of language technology, and its potential to transform the future. Early machine translation framework Machine translation has advanced significantly in the late 1980s and early 1990s. This method works by analyzing the similarities between parallel texts in different languages ​​and recording the patterns that appear.

Although this technique has been improved over several iterations over the past few decades, it still has limitations. For example, in a language with flexible word order, such as Portuguese, the SMT (SMT Statistical Machine Translation) engine did not translate well. Today, leading machine translation companies have shifted from statistical machine translation (SMT) to focusing on the vast possibilities of neural machine translation (NMT).

In 2016, Google announced the Google Neural Machine Translation system, which utilizes artificial neural networks capable of deep learning to significantly improve the quality of translations.

When machine translation was in its infancy, the shaky quality often made many people doubt whether it would ever be useful. However, now, many professional fields, such as scholars, scientists, and engineers, appreciate the quality of machine translation.

Of course, it may be because the evaluation is made in a situation that takes into account the errors of machine translation to some extent. Currently, the level of machine translation quality is considered to be at the level of understanding 80% of foreign data, and the reality is that it is difficult to use in official documents. Therefore, we are currently providing a service that improves machine translation to the translation quality of a professional translator through machine translation work (Machine Translation Post Editing, MTPE) or simply post editing work.

One of the most exciting and powerful applications of AI-powered machine translation technology is its ability to help businesses expand into international startups. Online content increases as more companies seek to market their products and services into new markets, and marketing costs are inevitably high for all content to be available in multiple languages. So in the future, any organization can serve a global customer base. For example, in Germany, Spain, and France, we are pioneering new systems that use AI through local headquarters instead of deploying people according to language regions.

Many companies will use AI translation services in the near future to leverage AI to enable everyone to communicate in their own language. Global companies will now use machine translation technology to connect customer service, sales, marketing, product and other teams across the company, leveraging multiple languages. IM Translation is also always looking for ways to support and learn from other organizations in this field. It is no exaggeration to say that the future of machine translation is bright at the rate this technology is advancing. In the future, we would like to see new corporate communications created by machine translation.

How might I’M Translation and ISiS Koreaaid translation?

At I’M Translation and ISiS Korea, we can connect you with a professional translators and interpreters. We have over 30+ languages available on our platform and we are flexible and available regardless of the language pair, topic, and time zone. Please visit us at www.imtranslation.com and www.isiskorea.com/eng to request a free translation and interpretation quote. Thank you!