Multi-language content moderation across 200+ languages

Language detection runs automatically as the first step of the pipeline. The ML models identify the language of incoming content and apply the right per-language detection and scoring without any manual tagging. When a message switches languages partway through, Lasso splits it into segments and detects each one separately.

Lasso moderates across 200+ languages spanning Latin, Cyrillic, Arabic, CJK, and Devanagari scripts. Right-to-left languages such as Arabic and Hebrew are supported alongside left-to-right scripts. The same detection models, custom rules, and AI Moderator apply regardless of the writing system.

Lasso detects homoglyph substitution, where users swap visually similar characters from another alphabet to slip past keyword filters, such as a Cyrillic а for a Latin a or a Greek ο for a Latin o. It also recognizes transliteration and mixed-script content rather than reading each character literally. The AI Moderator then weighs cultural context and slang, so evasion that single-language keyword systems miss still gets caught.

Content moderation across 200+ languages. Language detected automatically. The same detection models, confidence scoring, and four-layer pipeline apply to every language. Scripts include Latin, Cyrillic, Arabic, CJK, and Devanagari. Full moderation in every language, not just keyword matching.

Mixed-language messages are split by language segment and moderated per language. Transliterated content is recognized. Cross-script evasion is detected: Cyrillic characters substituted for Latin, Greek for Roman, and other homoglyph tricks. The four-layer pipeline catches what single-language systems miss.

Lasso has four layers for every language. ML detection catches clear violations. Your rules enforce per-language and per-market standards. The AI Moderator handles cultural nuance, slang, and grey areas. Human moderators review edge cases using in-dashboard translation. Same pipeline, any language.

The AI Moderator resolves cultural context across dialects. "Sick" and "killed it" read as negative literally but signal praise in English slang. "Coger" means simply "to take" in Spain but is crude in Mexico. Same Spanish word, opposite registers. Korean ancestor-based insults appear benign in translation but are severe in context. Lasso classifies by region and culture, not literal translation.

Moderators do not need to speak every language. In-dashboard translation shows the original content alongside a translation in the moderator's language. Review decisions are made with full context. This means a smaller team can moderate content across all languages without hiring per-language moderators.