Webinar
Enhancing Inclusivity in Clinical Trial Research: COA Development and Translations
Case Study: Multilingual Retail Marketing
New AI Content Creation Solutions for a Sports and Apparel Giant
Lionbridge Knowledge Hubs
Lionbridge’s TRUST Framework
Build Confidence in AI Use
Meet the Pride: Lex Parisi
Lionbridge Games’ Director of Gaming Marketing Solutions
Generative AI
- AI Translation Services
- Content Remix
AI Training
- Aurora AI Studio™
Machine Translation
- MT Tracker
Instant Interpreter
Smart Onboarding
Translation Service Models
Content Services
- Technical Writing
- Training & eLearning
- Financial Reports
- Digital Marketing
- SEO & Content Optimization
Translation Services
- Video Localization
- Software Localization
- Website Localization
- Translation for Regulated Companies
- Interpretation
- Instant Interpreter
- Live Events
- Language Quality Services
Testing Services
- Functional QA & Testing
- Compatibility Testing
- Interoperability Testing
- Performance Testing
- Accessibility Testing
- UX/CX Testing
Life Sciences
- Pharmaceutical
- Clinical
- Regulatory
- Post-Approval
- Corporate
- Medical Devices
- Validation and Clinical
- Regulatory
- Post-Authorization
- Corporate
Banking & Finance
Retail
Luxury
E-Commerce
Games
Automotive
Consumer Packaged Goods
Technology
Industrial Manufacturing
Legal Services
Travel & Hospitality
Insights
- Blog Posts
- Case Studies
- Whitepapers
- Solution Briefs
- Infographics
- eBooks
- Videos
Webinars
Lionbridge Knowledge Hubs
- Positive Patient Outcomes
- Modern Clinical Trial Solutions
- Patient Engagement
SELECT LANGUAGE:
Machine Translation (MT) has been around for decades and has evolved exponentially in recent years. As companies produce ever-growing amounts of content in different languages, they see MT — and now emergent generative AI (GenAI) technology — as an opportunity to extend their reach in an increasingly globalized world.
Companies seeking automated translation solutions may select one of the following four basic strategies. The decision will influence which automation tool they want to implement.
Want to learn more about Machine Translation terminology and the different types of automated translation technologies? Check out our blog, Machine Translation in Translation.
When choosing among the many available automated translation systems, it’s important to note that some MT engines are trained to address a specific function or domain. If your needs don’t align with that purpose, the engine may perform sub-optimally, no matter how advanced it is.
Identify why you are using automated translations to determine the most suitable option. If you want an MT engine for general use, it may be appropriate to use Google Translate or Bing Translator. You may achieve better results using a different tool if you seek MT services for a specific language or domain.
Lionbridge is an expert in these technologies. In addition to having more than two decades of MT experience, we have gathered a large volume of linguistic and quality data about MT technology. Lionbridge’s Machine Translation Tracker analyzes the performance of the top five MT engines and several GenAI models. We publish the results periodically to help you understand how these tools perform, depending on the content’s domain and the language pairs used.
Check out our findings below. The results — which are everchanging — can give you an idea of which options are right for you.