Also, think about your budget, the language pairs, the amount of text, and any additional localization services required, such as testing, SEO research, or project management.
Which Machine Translation Engine Does the LSP Use?
Choosing the right machine translation engine for your business is essential to success. While Google Translate is okay for personal use, you’ll need something much more powerful for your localization strategy. Thankfully, researchers are developing different machine translation engines every day.
Your specific industry or language pairing may guide your lithuania mobile database decision. For example, you may want to consider DeepL, NMT Systran, and Modernmt for English or French translations. However, Tencent or Baidu are much better for Chinese translations.
According to Omniscien, a high-quality custom machine engine can increase productivity by as much as 300%. This number could make or break your localization strategy. So whether your business is going to complete the machine translation privately or you’re looking for a language service provider (LSP), you need to know the limitations and capabilities of the proposed MT engine.
Do their post-editors have experience in your industry?
You wouldn’t hire a plumber to install electrical wiring. The same goes for post-editing. You’ll want to ensure your translator has experience in machine translation post-editing as well as your language pairing and specific industry.