Internet

When to trust machine translation

As an established business with a completed website, you’ve decided to take the plunge and translate your content into several languages. You’ve heard the statistics: Only 20 percent of the world speaks and reads English as a first language. With a vast, untapped non-English-speaking global market out there waiting for you, your business has the potential to expand by leaps and bounds. However, as you begin to research the time and costs of translation, you wonder if you should just let a machine do the translating and be done with it. You already have great content, so it should be simple to feed it into the right program and produce an accurate translation, right?

Image result for machine translation

Unfortunately, no. While there are some instances where machine translation will suffice, relying solely on this technology rather than on professional translation services could spell disaster for your company. In this article, we will look at what machine translation is, when you can and cannot rely on it, and the future of automated translation.

What Is Machine Translation And How Does It Work?

Machine translation, also referred to as MT,  is translation that is automatically done through the use of software programs. Sometimes these programs are used as a fully automated process, with no human involvement at all. Other times, they are integrated as a semi-automated translation tool. A human translator takes the translated data and completes it by correcting errors in the text and localizing the content so it is appropriate for the culture of the target audience.

Deep learning and neural networks

Modern machine translation uses a type of artificial intelligence (AI) called deep learning.  This type of AI mimics human neurons and is also often called neural networking. A program uses specific algorithms to learn information at a rapid pace, sorting through millions of characters and identifying sentence strings instead of just individual words. While this technology takes massive amounts of data, cloud computing has made it possible to achieve an accuracy level that is higher than ever. This has been influential in industries like advanced medicine and the stock market, and has also had an incredible impact on language translation.

The Internet of Things (IoT) has improved machine translation tremendously, allowing for machines to pick up subtleties in grammar and expressions. Because it can translate vast amounts of data so quickly, it can be a cost-effective way to start a major translation project.  It is particularly useful for content where accuracy may not be as important such as in personal emails, blog comments, message boards, or general content being read for personal enrichment. It is also excellent for travelers and language students. The quality is less than perfect, but its benefits for personal use are outstanding.

Machine Translation or Human Translation?

In recent years, organizations have been using tools like Google Translate and Microsoft Translator, while a growing number of promising plug-ins such as Lingotech, Babble, qTranslate-X, and others have popped up to assist users in website and blog translation. These are all amazing tools that can bridge the communication gap between you and your overseas audience. But they are also still lacking.

Machine translation has improved dramatically over the years and will continue to evolve. However, there are some serious flaws in the system. As such, using machine translation for your multilingual website, instead of using a translation agency, is generally a bad idea.

Machines have no sense of humor

Humans can pick out idioms and sarcastic remarks, but machines aren’t always able to do the same. A machine may not know the difference between a figure of speech or a literal phrase. If something is meant to be humorous, machine translation could change the entire meaning, leaving your audience confused and ready to wander off online in search of content that makes sense.

Headlines, slogans and more
Certain words translated into other languages turn out to be inappropriate or vulgar. Consider the story of Kentucky Fried Chicken. When the franchise first opened in the Chinese market, they realized too late that the translation of their famous slogan “finger-lickin’ good” came out as “eat your fingers off” in Mandarin. And when Honda introduced the “Fitta” in Sweden, they didn’t figure out until later that the term was an old, vulgar slang word for a woman’s genitals.

Machines also have no idea that it is inappropriate to discuss certain things in different cultures. They don’t understand double meanings or slang, or how to avoid insulting people. In short, they aren’t culturally sensitive. Translation and localization specialists (native speakers who understand the region) can help you to avoid embarrassing situations like these. Machines simply don’t care whether you are embarrassed or not.

Keyword translation
Keywords are another area where machine translation misses the mark. If the computer doesn’t recognize the words, especially if they are obscure, it will replace them or skip them which results that render the sentence impossible to understand, with keywords losing their entire purpose.

Further, if your website’s content is mostly machine-generated, you run the risk of it being removed from the index. Search engines don’t like automated material. Your rankings and traffic could be wiped out in an instant, and all of your hard work and SEO efforts will have been wasted. Utilizing a translation company or a professional translator is one way to avoid this unfortunate scenario.

Translation Quality
The quality of machine translation is still not up to par. Machines cant analyze things like tone and writing style, so text tends to sound robotic and grammatically incorrect. And trying to translate into a language like Japanese or Mandarin is still notoriously difficult to do by machine without the translation coming out nearly incomprehensible.

The Future Of Machine Translation

Machine translation is part of the natural language processing industry. It is expected that this industry will be worth around $2.1 billion by 2024. The process by which machine translation apps learn new language patterns is ongoing and continuous. We will see steady improvement in this area of technology for many years to come, and it will likely become an everyday part of our lives in the future.

For now, however, important projects should not be left to machine translation. Even the most advanced translation software in existence cannot replace the skills of a professional translator to help you grow your business in the global marketplace.

Bio
Louise Taylor is the head of content for Tomedes, where she manages the company’s blog and business translation center. Tomedes is a  translation company with a worldwide client base, serving customers with translations in 90+ languages.

 

About author

I work for WideInfo and I love writing on my blog every day with huge new information to help my readers. Fashion is my hobby and eating food is my life. Social Media is my blood to connect my family and friends.
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