Machine translation

MT use cases

MT is a long, exciting journey from first trying out Google Translate to training your own custom models and adding AI-enhanced features.
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Service description

MT can be the primary source for translations with different levels of post-editing, or a source of translation suggestions, like a translation memory or glossary. In the latter case, multiple MT providers can be set up to offer and rate alternatives to choose from.

MT can also work under the hood to serve automatic translations on the fly, e.g. for a web catalog or a site where the risk of mistranslation is low. Chatbot MT integration enhances customer support for global markets. For some use cases like getting the gist only or long-tail content, unedited “raw” MT can also be an efficient solution.

Why choose espell?

1

espell can help you identify the best approach based on the content type, domain, intended use and audience, language combinations, as well as the customization effort required.

2

Supported options include (1) generic models with optional custom glossaries, (2) easily trained custom models layered over a generic foundation model, (3) fully custom-trained models.

3

Low barrier to entry with espell’s ready MT integrations and API-based custom MT tool.

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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"Sharing clients’ feedback with the linguists is always challenging, as each case is different, but serves the same purpose: providing the client with a service they are happy with. The feedback process often results in several rounds, it requires a bunch of soft skills and empathy. If I am to do a good job, the linguists should understand and incorporate the client’s requirements and align them with the linguistic aspects. I always aim at turning feedback into knowledge and support that nurtures our educated, motivated, and dedicated linguists who stay with espell on the long run."

Beáta Bíró-Nink
business partner manager

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