Crowdin has unveiled an innovative feature called Crowdin Dreams, which leverages AI to enhance translation quality by learning from human editing patterns. This tool observes real-time edits made by human editors on AI-generated translations, extracting valuable insights that can inform future translation processes. By identifying consistent editorial choices, Crowdin Dreams aims to automate the improvement of translation quality, offering suggestions for bilingual glossaries, style guides, and QA rules based on observed patterns.

This development is significant for the localization industry as it promises to streamline workflows and improve efficiency. By capturing the nuances of human decision-making during the editing process, Crowdin Dreams could reduce the reliance on extensive human review, ultimately saving time and resources. The initial experiments, particularly in challenging contexts like game localization, show that even a small dataset can yield actionable insights for AI setups.

Localization professionals are encouraged to consider participating in the experimental phase of Crowdin Dreams. Engaging with this early-stage technology could provide valuable feedback and help shape its future applications in real-world projects.

Source: crowdin.com