How Technology and AI Are Shaping Language Quality Management [Video]

Technology is the catalyst for effective language quality management. Today’s advanced software tools speed up reviews, boost accuracy, and lighten the workload for language quality specialists. 

Now, AI is altering the landscape for anyone who works with language. How will this tech revolution change the jobs of language quality professionals? Will AI take over, or will teamwork between humans and machines shape the future?

In Beyont’s latest webinar, top language quality pros tackled these questions and others as they explored the role of technology and AI. Keep reading for key takeaways from our conversation—and check out the video for deeper discussion and insights. 

 Meet the Experts

Our panel brought together an international group of experts working on the front lines of localization and language quality:

  • Vladislav Demyanov, Production Manager for Technolex Translation Studio (Ukraine).
  •  Jose Palomares, Director, Localization, Coupa Software (United States).
  •  Marge Žordania, Head of Medical Department, Luisa Translation Agency (Estonia).

Cesar Alsina, language quality program manager at Beyont, guided an in-depth discussion that culminated in a Q&A with the audience. 

Key Takeaways: What Language Quality Professionals Need to Know

Our panelists shared how they are using technology to improve language quality processes and outcomes. They delved into what trends are changing the field right now, and what we can expect in the future. 

So, what are some key takeaways from the discussion?

  1. Technology offers many opportunities to make language quality management faster, more accurate, and more efficient.

Tech is boosting results across the board—and the possibilities are only growing. The right software can help streamline project management, provide better feedback to translators, and more. Language quality reviews can benefit from the synergy between off-the-shelf and custom solutions: For example, the popular QA tool Xbench can be enhanced with automated checklists that make it easier to catch linguistic errors. Other innovations, such as automated quality scores, are still developing but will eventually have a major impact. 

  1. AI is the future, but make a thoughtful assessment before diving in.

With the AI boom in full swing, language quality professionals need to be early adopters if they want to thrive. (In the words of one panelist, it’s “a change of paradigm.”) Nonetheless, it’s vital to stay grounded and take a realistic view of what AI can achieve. Current AI is far from able to take over all linguistic tasks, but AI-powered applications will soon become indispensable tools of the trade. 

  1. English presents the best opportunity for generative AI.

Today’s generative AI can accelerate quality improvements in English and make them more cost-effective. When English is the target language, language quality pros should thus look to adopt generative AI tools right away. Other languages—even major ones such as Spanish—have lagged in attention and investment, so generative AI is unlikely to deliver the same results for those languages, at least for now. 

  1. AI is more than generative AI—and its impact goes beyond linguistics.

While generative AI is taking off, it’s just as important to note the rapid progress of neural machine translation (NMT) in recent years. A combination of both technologies could offer more powerful solutions than either one by itself. Meanwhile, AI is poised to streamline and enhance many aspects of day-to-day work, such as project management.  

  1. Know the risks before entrusting your language needs to AI. 

The most powerful AI systems can still make significant mistakes. Before leaping in, gather all your stakeholders to establish how such errors could harm your objectives and what risks you can afford to take. In some cases, flawed content might be better than no content at all. But for mission-critical projects, expect to have humans in the loop for the foreseeable future. 

Discover More: Watch the Full Discussion

The relationship between humans and technology is evolving, with AI leading the way into an unpredictable future. If you work in localization and language quality management, you’re certain to see big changes ahead.  

Watch the full video to learn more, as our panel of experts delve into the role of technology today and explore what the future could bring. Want to stay in the loop about upcoming panel discussions? Subscribe to our email list.