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Translation Technology: Your Definitive Guide to Translation Technologies 2024

Michael Gallagher
Michael Gallagher
Posted in Zoom Sep 5 · 7 Sep, 2022
Translation Technology: Your Definitive Guide to Translation Technologies 2024

Translation Technology for Businesses: A Practical Guide

Businesses that want to reach international markets often face the challenge of language barriers. Translation technology has become a key tool for companies needing to produce content in multiple languages, helping them connect with customers worldwide and stay ahead of competitors.

What Is Translation Technology?

Translation technology includes software and platforms that help people and businesses convert text from one language to another. Its main goals are to make translation accurate, consistent, and efficient (CSA Research, 2023).

  • Translation Memories (TM)
  • Computer-Assisted Translation (CAT) Tools
  • Machine Translation (MT)
  • Terminology Databases
  • Translation Management Systems (TMS)

With advances in technology, these solutions continue to improve—offering faster, higher-quality translations every year.

Benefits of Translation Technology

Businesses gain many advantages by using translation technology, including:

  • Consistency: Tools like TMs and CATs store past translations for future use, ensuring content stays uniform (Smartling, 2022).
  • Cost Savings: Automating tasks reduces manual effort and lowers operational costs (GALA, 2023).
  • Faster Turnaround: Automated solutions can translate high volumes of content quickly, which shortens time to market.
  • Improved Quality: Proofreading tools check grammar and accuracy, reducing errors.
  • Resource Allocation: Teams can focus on higher-value tasks while technology handles repetitive translations.

Companies using modern language solutions often see higher productivity and can launch new campaigns in multiple countries much faster.

Types of Translation Technology

Computer-Assisted Translation (CAT) Tools

CAT tools help human translators work more efficiently by breaking content into segments and offering suggestions for repeated phrases.

  • Split text into small segments for easier translation.
  • Analyze words and recommend previous translations.
  • Extract source text and reinsert translated content into original formats.
  • Allow team members to collaborate in real-time.

CAT tools streamline workflows and reduce manual errors. Industry leaders such as SDL Trados and memoQ are popular choices. Learn more about how transcription services use similar technology.

Translation Memories (TM)

A TM is a database of previously translated sentence pairs.

  • Stores translated phrases linked to source language.
  • Suggests matches for new content based on previous translations.
  • Speeds up translation and boosts quality by maintaining style and terminology consistency.

Managing a TM lets teams update and remove outdated phrases, keeping content fresh and accurate.

Terminology Database (Term Base)

These databases save key terms for brands, products, or industries.

  • Automatic suggestions for industry-specific words and phrases.
  • Extra info like creation date and approval status.
  • Prevents misuse of sensitive brand terms.

Connectors

Connectors link translation technology directly to platforms such as content management systems (CMS), digital asset managers (DAM), or product information managers (PIM).

  • Move files and translations between platforms without manual copying.
  • Reduce errors and save valuable time.
  • Enable teams to track project status in real time.

Translation Management Systems (TMS)

A TMS organizes translation projects from start to finish for teams and service providers.

  • Support multiple file formats and languages.
  • Provide dashboards for monitoring project progress.
  • Allow collaboration and communication between translators, editors, and clients.

Machine Translation (MT)

Machine translation uses artificial intelligence to convert text between languages instantly. Modern systems employ techniques like neural networks, which have significantly improved accuracy since 2016 (Proceedings of the NAACL, 2016).

Main Types of Machine Translation

  • Statistical: Translates based on patterns from large datasets.
  • Rule-based: Uses grammar and linguistic rules set by users.
  • Neural (NMT): Mimics human brain functions to understand context and intent.

Neural machine translation is now the standard for many companies due to its greater accuracy and fluency.

Post-Editing vs. Raw MT

  • Raw MT: Quick and best for general or perishable content like product FAQs or updates.
  • Post-Edited MT: Human editors improve machine output for sensitive documents like legal, medical, or brand-critical content.

For high-stakes materials, audio translation services with post-editing or review are highly recommended.

Translation Technology and Business Globalization

Consumers expect brands to communicate in their native language and cultural context. Translation technology makes localization possible by adapting look, feel, and message for each market (Common Sense Advisory, 2023).

  • Enables quick and accurate localization of websites, ads, and product information.
  • Reduces costs and errors with integrated solutions.
  • Accelerates entry into global markets.

Companies with localized content see higher customer trust and better market performance.

How to Choose the Right Translation Technology

When picking a translation technology for your company:

  • Check if the system is user-friendly and easy to train staff to use.
  • Look for solutions that scale as your business grows.
  • Demand support for system integration with your existing tools.
  • Review vendor portfolios and case studies for proven success.
  • Ask about cloud-based versus on-premise options to suit your needs.
  • Ensure ongoing customer support and technology updates.

For flexible, robust solutions, GoTranscript offers text translation services, automated transcription, and a range of integrated tools.

What’s Next for Translation Technology?

Translation technology is advancing quickly. Portable devices, real-time translation apps, and AI-powered earbuds are making translation even more accessible.

  • Improved support for dialects and accents.
  • User-friendly interfaces for non-technical users.
  • Greater integration with video, audio, and live media.

Deep learning and neural networks mean translations continue to improve every year. Businesses can expect faster, smarter solutions for both written and spoken content.

GoTranscript: Your Partner in Translation Technology

Translation technology helps companies cross language barriers and reach their global audience faster and more effectively. GoTranscript provides a full suite of solutions, including automated transcription, translation services, closed captioning, subtitling, and proofreading services.

Whether you need affordable transcription pricing or plan to order transcription or order captions today, GoTranscript ensures your content is ready for a global audience.