Dynamic Language Blog

Many people have turned to computers to translate text in other languages. This can be a quick and effective way to translate information. Travelers may rely on their phone or apps to communicate with locals in another language. While results through using this technology are often fast, they are not always reliable. Machine translation has experienced rapid growth in less than a century, but still has room to grow and develop.

The world is getting smaller, and tools like social media have made it possible to connect with people all over the world. However, language barriers continue to present obstacles. Human translation is the gold standard for communication between cultures, but it isn’t practical for every interaction. Fortunately, advances in machine translation and neural machine translation offer effective solutions for certain situations. 

With businesses developing in emerging markets and the increasing need for global collaboration, the demand for translation services is growing exponentially. It is more important than ever to make content available over a variety of languages in as short an amount of time as possible. As machine translation continues to develop and improve, it's becoming an increasingly important tool for organizations with specific translation needs.

Many industries use artificial intelligence (AI) to simulate or imitate human behavior. The translation industry has embraced AI in the form of machine translation (MT) to help translate a higher volume of content than ever before. However, MT has not replaced human translation, and there’s little likelihood of that happening anytime soon.

When learning a foreign language, accurate pronunciation of new vocabulary words can be one of the toughest skills to master. As the language-learning world becomes more and more digital, language learners are more likely to turn to online tools, such as Google Translate, for pronunciation help. However, the computer voice often sounds robotic, garbled, and difficult to understand.

Here’s the situation: you’ve got TONS of text that needs translation (tens, maybe even hundreds of thousands of words) but there isn’t room in your budget for the higher cost of “standard” translation, and you’re faced with an expedited timeline. Most likely, under such circumstances, the traditional human translation process simply isn’t feasible.

Machine translation (MT) engines can translate large quantities of data in minutes or hours, and for a fraction of the cost. However, most of us have seen some comical examples of the sub-par translations produced by any of the free online MT solutions. Gibberish certainly isn't an acceptable form of communication!
 
Fortunately, the quality of customized, trained MT engines has come a long way, and for certain content, it’s the perfect option. When MT is supplemented with extensive industry-specific Translation Memories and Glossaries (e.g. Life Sciences, IT, Electronics, Medical Devices, Automotive), along with a human post-editing touch, your desired linguistic quality is within reach.

The most critical step to improving the quality of your MT results is through the post-editing process. To benefit from “the best of both worlds”, you would first run your content through MT software and then arrange for a professional translator to perform post-editing. This way, a human expert will enhance the quality by correcting grammar, terminology and punctuation, among other issues.

For a long time, Skype has been a communication pioneer, and the company has often been considered the gold standard for online video/audio chat. When your company name becomes part of the daily lexicon of terminology ("shall we Skype later?"), then you know you've arrived.

Machine translation (MT) has evolved into something very unexpected. The last few years have seen a dramatic jump in the technology that affords businesses the opportunity to use machine translation to save time and money.

Is there ever a time when machine translation (MT) is the best strategy for a translation project?

As a Quality Control specialist, although it pains me to admit it, the answer is “yes”. We all know the inaccurate translations that often result from utilizing MT, simply due to the fact that computers cannot be as attentive to context and nuances as human translators. In fact, I have talked about this topic in past blog posts.

There may soon be a way to speak 26 languages without stepping foot inside a classroom or cracking open a textbook. Researchers at Microsoft have found a way to learn the sound of your voice and use that in conjunction with machine translation to make the translated audio sound just like you!