What's New in the Lilt Platform
Check back here for updates, new features, and bug fixes that may affect the translation experience in Lilt!
Last updated: 1 April 2023
We're excited to announce the newest features and improvements to the Lilt Platform in this quarter!
We've overhauled the interface to be sleek, modern, and optimized for accessing key areas of the platform. Here’s what you can find under each tab.
Jobs: A nested list of jobs, projects, and documents. Context-specific actions and sub-tabs are on the main pane of the screen with secondary navigation along the top, and action buttons in the top right.
Data: Memories and Termbases.
Contextual AI: Your system’s Contextual AI models that power your Lilt translation behind the scenes, per language-pair, with links to the associated translation memory. If you have account permissions to view Instant Translate, it is also listed. We’ve also released a feature to train new models. Reach out to your Lilt account team to learn more!
Observability: Reports depending on your role permissions. Linguists can find the Linguist Stats report here; others can find program-level insights.
Organization: Admins and users with the necessary role permissions can manage settings, users, and role permissions under this tab.
Connect: Available Lilt connectors, and your organization's API key for use in integrations.
Other Navigation: Found at the bottom of the page. Click your avatar to change profile settings and logout. Access Lilt’s Knowledge Base through the icon, and see inbox notifications.
New and Improved Connectors
Phrase TMS (formerly Memsource): Lilt’s new Phrase TMS (formerly Memsource) connector enables transfer of content directly from the Phrase interface to Lilt for translation. The connector integrates status updates for tracking directly within Phrase, so requesters can maintain their entire workflow in their TMS of choice.
Salesforce Email Templates: Within Salesforce Service Cloud, customer support agents can use email templates to provide ‘canned responses’ to common questions. Lilt has a new connector that connects Salesforce and the Lilt platform to support sending and receiving this content for translation in Lilt.
Termweb: Lilt’s new Termweb connector enables a centralized termbase (in Termweb) to be transferred to Lilt at a regular cadence. This helps Lilt leverage the latest terms through its Contextual AI models.
Azure Blob: We’ve released a new connector to automatically push and pull content between Azure Blob and Lilt. This creates efficiencies by providing seamless localization without transferring content out of your file-storage solution of choice.
Jira integration enhancements: We’ve made improvements to our Jira integration to support project-level status tracking as well as additional transfer of metadata, such as inclusion of language-locale codes, requester names, and due dates.
Improvements to Existing Features
We've also made several improvements to existing features in the Lilt Platform based on user feedback. Here are some of the highlights:
Translation memory (TM) deduplication, which automatically identifies and removes duplicate records during import and export of .TMX files. This helps you keep assets clean and accurate, and saves you time by eliminating the need for manual deduplication.
Full document rejection during review without the need complete error annotations across all segments. To learn more, reach out to your Lilt account team.
Robust CAT editor capabilities for the Customer Review step of workflows, including Undo, Find & Replace, and Accept All Actions.
The option to disable whitespace penalties during TM leverage using BatchMT. This helps increase leverage and ensure high-quality translation with Lilt’s Contextual AI.
We always appreciate your feedback and suggestions for continued improvement of the product. Thank you for working with the Lilt team and our platform!