Translating with LILT

"Translation method" describes the specific translation approach used to localize source content into a target language or languages.

Dual translation methods empower every business employee, from global experience and localization managers to user interface designers and customer support agents, to approach localization through the lens of a global experience creator.

Translation methods strip away complex terminology and processes, which are all too common in the localization and translation industry, to help you become a confident and strategic global experience owner.

LILT offers two translation methods: Instant Translation and Verified Translation.

Verified Translation is content translated by human linguists, with the support of the LILT Contextual AI Platform. Verified Translation is great for content translation when content quality is your priority.

Instant Translation is content translated by your organization's custom Contextual AI Engine in the LILT Platform. Instant Translation is most useful when speed is of the essence or rapid iteration is needed.

Unlike most language service providers (LSPs), LILT does not use Machine Translation Post-Editing (MTPE). With MTPE, machine translation (MT) is used to pre-translate content that is later reviewed by human linguists to correct egregious errors.

LILT’s Verified Translation is produced through an interactive and adaptive approach. Human linguists provide in-context feedback to predictive translation suggestions generated by the LILT Contextual AI Engine. This process unites human linguists with purpose-built technology that learns and adapts in real-time to improve human translation output. Rather than relegating human linguists to correcting machine outputs, Verified Translation puts human ingenuity at the center of the localization process by deploying technology that continuously helps human linguists improve translation quality and speed.

Most machine translation solutions have a singular baseline training model that processes all machine translation requests. These solutions return a one-size-fits-all translation, which can be adequate for consumer use, but does not incorporate any learnings, guides, or terminology specific to your organization.

When a customer starts working with LILT, a unique LILT Contextual AI Engine is created for your organization. An organization’s Contextual AI Engine uses LILT’s baseline training model, but also continuously learns and adapts from your custom content. Not only is your organization's engine trained on your historical translations, style guides, and glossaries, but it also learns in real-time from each word translated via a human linguist, adapting to your stylistic preferences, tone, and voice. This continuous training tailors machine translation results, producing better and better translations in your organization’s unique voice.