Machine Learning and AI are the most sorted after skills these days. This is why machine translation is also in the boom. Machine translation has evolved over time, especially in terms of accuracy levels in its output. Here are some more reasons why-

Machine Translation in Industry for Business Use

Although Google Translate and Microsoft Translator offer near-accurate, real-time translations, some “domains” or industries call for highly-specific training data related to the certain domain in order to improve accuracy and relevancy. On these specific points, generic translators would not be of much help as their machine-learning models are trained on generic data. From the research that has taken place, the machine translation companies seem to fall into two major categories, depending on the target audience they serve.

Machine translation applications are used by small, medium and large enterprises. Some of the major key organizations that offer multi-domain translation services–that is, customizable solutions across multiple domains–and other organizations offer translation solutions only for a specific domain. These solutions, which are being automated for the most part, still depend on human translators for pre- and post-editing processes. Some fields that warrant domain-specific machine translation solutions are:

  • Government
  • Software & technology
  • Military & defence
  • Healthcare
  • Finance
  • Legal
  • E-discovery
  • Ecommerce

Online / App Machine Translation for Consumer Use

These machine translation learning applications that can perform instant translation for textual, audio, and image files (images of words on screens, papers, signboards, etc.) from a source language into another language. These are hardly generic–that is, non-domain specific–albeit with a high translation accuracy.

These applications are usually light-weight, cloud-based apps or wearable devices that are hardly trained on crowd-sourced data. Such machine translations are mostly used by individual consumers, such as travellers, students, etc. Here are some real-time translation applications most commonly offer:

  • Text-to-text
  • Text-to-speech
  • Speech-to-text
  • Speech-to-speech
  • Image (of words)-to-text

Machine translation is faster

One of the key benefits of machine translation is speed. A computer program can translate gigantic amounts of content quickly. Human translators, on the other hand, are more exact but take much longer to complete the same amount of work.

Machine translation is less expensive

The important part is machine translation is less expensive than using a human translator. Although, not only is it faster, but computers do not (yet!) require a minimum hourly wage. Professional translators, Another part, are experts who deserve to be compensated for their expertise.

The main key here is to save that expertise for when it’s actually needed. If all you require is a rough translation, machine translation can get you the information you need much more cheaply than a human translator. In fact, our machine translation solutions may save you anywhere from 35% and 98% of the cost of a human translator.

Machine translation improves consistency

You can make customized machine translation engines with your preferred business terms, improving the consistency of translated documents. The computer program may be trained to use the same term for the same concept every time. This can help you to keep your company’s “voice” intact even when working with multiple linguists and reams of content.

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