ZIP-0431: Neural Machine Translation (Zen-Translator)

Abstract

This proposal specifies Zen-Translator, a neural machine translation system that provides high-quality translation across 100+ languages with conservation domain specialization. Beyond text translation, Zen-Translator powers Zen-Dub (audio dubbing) and Zen-Dub-Live (real-time interpretation), enabling conservation content to reach global audiences in their native language. The system maintains conservation-specific terminology accuracy (species names, habitat terms, conservation status) across all language pairs.

Motivation

Conservation research is published predominantly in English, but conservation action happens in local languages. A field ranger in the Congo needs anti-poaching protocols in Lingala. A community conservation program in Peru needs educational materials in Quechua. Zen-Translator bridges this language gap with domain-aware translation that correctly handles conservation terminology.

Specification

Architecture

Base: Zen-Pro 72B encoder-decoder adapted for translation
Languages: 100+ language pairs
Domain adaptation: Conservation corpus fine-tuning for each language pair
Terminology engine: Conservation glossary enforcement during translation

Translation Quality

Language Pair	BLEU	COMET	Conservation Accuracy
EN -> ES	42.1	0.891	97.2%
EN -> ZH	38.5	0.872	95.8%
EN -> SW	35.2	0.843	93.1%
EN -> ID	39.7	0.878	96.4%
EN -> QU	28.3	0.801	89.5%

Zen-Dub (Audio Dubbing)

Transcription: Source audio transcribed via Zen-Live (ZIP-0417)
Translation: Text translated via Zen-Translator
Voice synthesis: Translated text synthesized in speaker's voice style
Timing alignment: Dubbed audio aligned to original video timing

Zen-Dub-Live (Real-Time Interpretation)

Latency: < 2 seconds end-to-end
Simultaneous interpretation: translates as speaker talks (not waiting for sentence end)
Conservation mode: holds back translation until species names are fully recognized

Research Papers

zen-translator -- Zen-Translator architecture
zen-translator_whitepaper -- Zen-Translator model whitepaper
zen-dub_whitepaper -- Zen-Dub audio dubbing
zen-dub-live_whitepaper -- Zen-Dub-Live real-time interpretation

Implementation

hanzo/llm: LLM Gateway with translation endpoints
hanzo/jin: Jin multimodal framework for audio dubbing
hanzo/chat: Chat interface with inline translation

Timeline

Originated: June 2025 (Zen-Translator architecture)
Research: zen-translator published Q2 2025, dubbing papers Q3 2025
Implementation: Zen-Translator deployed via Hanzo LLM Gateway Q3 2025