Inside the Enrichment Agent
Why full-episode context beats line-by-line machine translation.
Standard machine translation works one line at a time — efficient, but a script isn't a list of independent sentences. Translate line-by-line and pronoun ambiguity, callback jokes, terminology drift, tone mismatch, and relationship errors all creep in.
Echo9 is episodic content localization platform.
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What's Inside
Full Transcript Ingestion
The entire episode's dialogue is ingested, not just the current line or scene.
Scene & Speaker Metadata
Who is speaking, to whom, and in what scene context — tracked before translation starts.
Character & Relationship Mapping
Tracked across the episode, and carried forward from prior episodes in the series.
Terminology Memory
A running glossary of in-world terms, names, and phrases, checked against every prior episode.
Consistency Flagging
Contradictions or drift are flagged for human review rather than silently passed through.
The real advantage compounds over a season, not a single episode — terminology memory built in episode 1 is still being checked against in episode 12.
The Enrichment Agent's context pass runs before the Rephrase-Fit Method's timing-constrained translation step, and its consistency flags feed directly into Category F (Series Consistency) of the QA Engine Checklist.
Related: Rephrase-Fit Method, neural voice synthesis
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