What Are Neural Machine Translations and Where to Use Them? 

From Georgetown-IBM’s first demonstration of automated translation in 1954 to current-day neural MT algorithms, machine translations have evolved so much. Previously, machine translation systems would take days to process and translate the content, and now we can perform the same translation within seconds with better accuracy. From an online translation engine to a professional translation project management platform, neural translation algorithms have been utilized in a variety of tools.

Today when more companies are going global, the need for content translation has also increased drastically. More and more machine translation tools are coming around in the market. Machine translation has significantly transformed over the past decade with the increased use of neural translation models. Indeed, machine translation comes with a lot of benefits that you should be aware of. In this article, we’ll have a quick review of some major neural machine translation uses for translation project management.

Neural Machine Translation – definition 

Neural machine translation network is used in many automated translation tools that work with source text encoding and decoding. It doesn’t really work with predefined rules like other traditional translation models; that’s why the results generated by neural translation tools are of better quality.

Instead of breaking down sentences into phrases and words, a neural network takes the whole at once in the process of generating the translation. Neural translation increases the speed and quality of translation, and it was the major reason why Google has shifted to neural models.  

When to use Neural Machine Translations?

The first thing to make clear here is machine tools can’t manage all types of translations. For instance, if you are translating marketing copies or poetry books, human translators are still the best option out there. However, machine translation is also an amazing tool in different scenarios. Here are the top benefits of neural machine translation tools for your large-scope translation projects.

Dealing With High Volumes of Content 

If you are dealing with a large-scope translation project, managing high volumes of content is a major challenge. Sometimes it gets hard for you to provide high-quality translation outcomes in time. Using neural translation tools would speed up your translation processes and help you generate more translations in less time. Neural MT tools are used in professional localization management platforms to avoid missing content deadlines. Most companies adopt machine translation post-editing techniques to complete their translation work within the scheduled time. This way, neural translations help the companies to maintain their reputation in the market and easily get away with excessive translation workload.

Translating Redundant Data 

For translating the content for an ecommerce store, you may need to translate the same data again and again. For instance, translating the product descriptions of similar products may have a lot of repeated phrases and words. Similarly, translating the user manual and usage guides may also contain a lot of redundant information. The neural translation is very effective in translating this type of data.

Using a neural machine translation tool to generate a translation for such data would save a lot of time without compromising quality and accuracy. If you are using a professional localization management platform, it may also use a neural TMS tool to generate quick translations.

User-Generated Content Translations 

Neural machine translation tools are capable of generating thousands of user comments on social and forum websites on a regular basis. Within just a few hours, we can easily translate a large amount of user-generated content in group discussions. It helps companies around the world to better understand the concerns of their customers and communicate more effectively with them. It allows them to better interact with their customers and resolve their issues by critically analyzing their opinions and feedback on the site.

Automated Customer Service

Neural translation technology is also used in online chatbots to give instant responses to customers as they approach you. Companies can significantly improve their online customer service by using a neural machine translation network. It would help the customer service personnel to have real-time conversations with customers speaking different languages. There is absolutely no need to hire native customer service individuals because neural translations would eliminate the language barrier between customer service teams and customers. It would allow your in-house agents to communicate very fluently with overseas customers.