Machine translation

Post-editing

Defining expected quality levels helps identify the right MT process, including the type and scope of human editing required for a given use case and audience.
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Service description

Full post-editing is aimed at achieving final quality that is similar, comparable, or equal to human translation. The goal of light post-editing is good enough quality for the intended purpose.

There are also even “lighter” post-editing processes, aimed at improving the accuracy and usability of long-tail content. These apply targeted QA checks that detect and rectify recurring issues.

Benchmarks and metrics like MT scores, LQA and edit distance, or more comprehensive A:B testing can be used to verify assumptions and fine-tune QA techniques. They also provide feedback for engine optimization.

Why choose espell?

1

espell has a large vendor base of linguists experienced in post-editing for the main language pairs covered by MT. We know how to select and train them for specific customer content.

2

We use special techniques to check for the consistent translation of feature names or UI options, and to filter out any non-translatables (product names, branded terms) corrupted by MT.

3

Feel free to ask for detailed service level definitions for post-editing and the scope of languages we can cover.

pricing

Our pricing is always custom-tailored to your needs.

We apply industry best practices to provide transparent and adaptable metrics and pricing.
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"When it comes to machine translation, there is a wide range of possible implementation strategies. One of the world’s top 50 SaaS companies chose espell to design an end-to-end process to localize their help documentation. In addition to architecting a fully automated process built on the client's infrastructure, espell’s Technology and Language Solutions team created a customized and cost-effective multi-engine MT solution with special focus on content specific configuration, engine selection and injecting terminology. The result is a fast, seamless, continuous localization process with linguistically optimized machine translation output."

Andrea Téry
head of technology and language solutions

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