There are three key aspects: terminology management, linguist selection, and review processes.

Before launching technical translation projects, invest time in building your term base. Some linguists specialize in term base translation. Once your multilingual term base is ready, Phrase TMS ensures consistent term usage with automated QA checks and AI post-editing. These capabilities automatically replace incorrect terms with approved ones while preserving sentence fluency.

Selecting linguists with subject-matter expertise is equally important. In Phrase TMS, you can use automatic linguist selection, suggest linguists who worked on similar projects, or define vetted providers in your project templates. For critical content, such as patents, we recommend adding extra review steps or a language quality assessment (LQA). Both can be easily configured in Phrase TMS.

For large-scale content like a help center with 100,000+ words or a 100-page product manual that needs to be translated into 30 languages for regulatory compliance, MT is often the only cost-effective option.

Phrase TMS offers advanced MT and AI features to ensure you achieve the highest possible quality from automated translations. MT Autoselect picks the best engine for each language pair and content type. AI post-editing ensures terminology from your term base is applied correctly and improves overall fluency and consistency. To monitor translation quality at scale, you can use Phrase’s Quality Performance Score (QPS), which grades each segment and enables tracking across languages and over time in Analytics dashboards.

Specialized linguists often charge more for technical translations, so it’s crucial to use their time efficiently, focusing on content that truly requires expert attention. You can set a QPS threshold and route only lower-scoring segments for human review.

Phrase TMS includes all the tools needed to automate quotes and cost management. You can set up net rate schemes per translator, and quotes will reflect the net word count only. Non-translatables, translation memory matches, and MT output with a 100% quality score can be excluded automatically.

With the Analytics feature, you get a clear view of costs by provider, language, or domain.

Yes, Phrase supports localization of API documentation and .md (Markdown) files through Phrase TMS and the Phrase Language AI API. You can upload, translate, and download markdown files, with support for automated workflows, quality evaluation (QPS), and seamless integration into developer toolchains.

Phrase preserves technical formatting by recognizing and protecting code syntax, placeholders, tags, and other structured elements during translation. It supports file types like Markdown, HTML, JSON, XML, and more, ensuring key technical elements remain untouched. Additionally, Phrase Language AI and Phrase NextMT use advanced tag handling and automated placement to maintain formatting accuracy throughout the localization process.

Yes, Phrase allows your in-house team to review translations before they go live. With built-in review workflows in Phrase TMS and collaboration features in Phrase Strings, you can assign review tasks, add comments, and approve content before final delivery or release. This ensures quality control and alignment with your brand and technical standards.

Yes. Phrase integrates with leading tools like Tridion Docs, Paligo, Salesforce Knowledge, and Zendesk Guide. These integrations detect new or updated content and trigger translation workflows automatically — with results returned in the correct format, ready to publish.

Phrase offers advanced terminology management, allowing you to define required, preferred, or forbidden terms. Terms can be linked and categorized by product or domain. Our AI agents also check terminology compliance automatically so your translated content stays accurate and on-brand.

Many customers use machine translation for high-volume technical documentation, especially when paired with Phrase’s automated quality scoring and AI optimization. You can combine MT with human review where needed, or rely on MT only for lower-priority content.