ACCESS THE RIGHT ENGINE
Through our language technology ecosystem, we can access most NMTs and LLMs. That means we can select the best-fit technology by language pair and content type, rather than relying on one engine for everything.
REUSE AND CONTROL LANGUAGE
Translation memories, glossaries and termbases retain previously approved translations and terminology. They help both human and AI-supported workflows stay consistent, reduce repeat translation and build on what has already been approved.
THE TECHNOLOGY BEHIND THE WORKFLOW
CONNECTED LANGUAGE TECHNOLOGY
Build a smarter multilingual content workflow
Connect the right language technology to the systems where your content already lives, and create faster, more efficient localisation workflows without losing linguistic control.
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Proof: Printemps CMS Integration at Scale
We integrated Printemps’ e-commerce CMS directly with our platform, automating content uploads, language routing, and translation memory checks end-to-end. Manual handling dropped, turnaround sped up, and stakeholders stayed in full control of final review.
Read how we integrated Printemps' CMS end-to-end
WHITEPAPER
Want the data behind the decisions?
Our Data Science whitepaper breaks down how we apply computational linguistics and NLP to multilingual content at scale, the same thinking that powers the technology on this page.
Download WhitepaperFAQs
Every beautiful relationship begins with a simple hello. So let’s chat. It might be the start of something.
What language technology does Locaria use?
Locaria uses a combination of translation management systems, translation memories, glossaries and termbases, neural machine translation engines, large language models and linguistic QA technology. Each plays a different role within the localisation workflow.
Does Locaria use AI for translation?
Yes. We use both neural machine translation and large language models where they are appropriate for the content and workflow. AI can be combined with human post-editing and linguistic review where required.
Which machine translation engines does Locaria use?
We are technology agnostic and can work with multiple NMT and AI translation technologies rather than relying on one provider. Our current technology ecosystem includes access to providers such as DeepL, Tencent, Jais, Baidu, ChatGPT and many more.
How does Locaria choose the right translation engine?
Different engines can perform differently depending on the language pair and type of content. We select the technology based on the specific requirements of the project rather than applying the same engine across every language and use case.
Can Locaria use our existing translation memory?
Yes. Existing translation memories can be imported from previous localisation programmes, internal teams or incumbent partners, allowing approved translations to continue being reused rather than starting again from scratch.
What role does Adaptria play in language technology?
Adaptria is Locaria’s proprietary orchestration platform. It can connect our TMS environment with CMSs and other content systems, allowing briefs, source content and adapted assets to move between specialist language technology and the wider content workflow with fewer manual handoffs.
Can Locaria connect localisation workflows to a CMS?
Yes. Through Adaptria and other integrations, content can move between CMSs and translation workflows, supporting automated import and export and continuous localisation for frequently changing content.
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Every beautiful relationship begins with a simple hello.
So let’s chat. It might be the start of something.
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