What is machine translation?
Machine translation is the automatic conversion of text or speech from one human language to another by software. Early systems used dictionaries and grammar rules, then statistical models trained on parallel texts. The field changed with neural machine translation, built on the transformer architecture and its attention mechanism, which reads the whole sentence before producing the output and handles word order and idiom far better. Large language models now translate as one task among many and can follow instructions about tone, terminology, and format.
Machine translation in practice
A food manufacturer with plants in two countries translates standard operating procedures, safety notices, and shift handover notes between English and Spanish. A glossary of approved terms for equipment and chemicals is supplied to the model so that “line clearance” is always rendered the same way. Translated safety documents are reviewed by a bilingual supervisor before posting, while shift notes are used as they come. A software company’s support team uses the same approach to answer tickets in languages no agent speaks, with the agent reading a back-translation before sending.
What to watch for
- Match the review effort to the stakes; a mistranslated lockout procedure or contract clause needs a human check, while an internal chat message does not.
- Supply a terminology glossary, because general models translate product names and industry jargon inconsistently.
- Check how the service handles confidential documents, since many translation tools send content to a third-party service by default.
- Test on your own documents in both directions and have native speakers judge the output.