MAC-RAG AI-Powered Translation

Collaborative Japanese–English
Translation for Kendo

A segment-based collaborative editor with AI assistance. Translate kendo texts with terminology enforcement, translation memory, and real-time multi-user editing.

Platform Features

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MAC-RAG Pipeline

Multi-Agent Collaborative RAG generates literal, natural, and formal translation candidates with quality scoring.

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Segment-Based Editing

Documents split into aligned sentence pairs. Track progress per segment with status badges and revision history.

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Terminology Database

Built-in kendo glossary with required, preferred, and do-not-translate constraints enforced during translation.

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Real-Time Collaboration

Presence indicators, soft segment locking, and live cursor tracking for multi-translator workflows.

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Translation Memory

Fuzzy search across previous translations with Levenshtein, Jaccard, and n-gram similarity scoring.

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Multiple Reader Views

Single language, bilingual paragraph, and sentence-aligned views for different reading needs.

MAC-RAG Translation Pipeline

Three-phase pipeline: context retrieval, multi-candidate generation, and quality scoring.

Phase 1
Context
Domain, style, entities, TM, terminology
Phase 2
Generate
Literal + Natural + Formal candidates
Phase 3
Score
Fluency, adequacy, terminology, style

Kendo Translation Platform — Collaborative Japanese-English translation with MAC-RAG AI assistance