translate: 如何做好临终关怀; project setup: skills, AGENTS.md, readme.dj, dj2docx.fish, bilingual workflow
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---
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name: translation-review
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description: Review Chinese↔English translations for quality issues — terminology, grammar, consistency, formatting. Two workflows: CSV/XLSX batch review (write .dj suggestions) and .dj comparison line-by-line review (surgical patching).
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description: Review Chinese-English translations for quality issues - terminology, grammar, consistency, formatting. Two workflows: CSV/XLSX batch review (write .dj suggestions) and .dj comparison line-by-line review (surgical patching).
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---
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# Translation Review
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### 2. Scan for problems (ordered by severity)
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**Sanity checks first** (mechanical, no judgment needed):
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- **Line count**: source and target must match exactly. Mismatch means paragraphs were dropped, merged, or split.
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- **Em-dash convention**: AGENTS.md says English em-dash (`—`) → three hyphens (`---`). The Chinese source often uses `------` (six hyphens) as its em-dash equivalent — convert to `---` in target, not to a Unicode `—`. A find/replace `—` → `---` over the target file catches all instances at once; a typical long file has 30–50.
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- **TOC format**: AGENTS.md says TOC must be a plain bullet list, no link targets. If target still has `[I. Heading](#...)` markdown links, strip them.
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**Terms database drift** (systematic):
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- Cross-reference glossary terms against the MPI terms database
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- HTTP API: `http://localhost:8910/search?q=...` (start: `python3 /home/user/documents/mpi/terms-search/server.py &`)
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- Prefer DoT定稿 > 内部特色词 > 佛教术语 > 经论名
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- CLI preferred: `python3 /home/user/documents/mpi/terms-search/search.py <query>`. For a review, batch many queries in one `execute_code` script (subprocess loop) — one terminal call per term is slow and noisy.
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- Source priority: DoT定稿 > 内部特色词 > 佛教术语 > 经论名
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- Fix both glossary comments AND body text
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- See `references/terms-db-alignment.md` for batch-lookup patterns
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- Stray spacing in Chinese text
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- Awkward line splits
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- Odd word choices
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- Redundant English calques: when the target mirrors a Chinese grammar pattern literally, it can read as a typo (e.g. "mind of death-mindfulness" for 念死之心 — should be "mindfulness of death").
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- Clunky idioms: 一念之差 → "a single thought of difference" is unidiomatic. Standard renderings exist (e.g. "a single errant thought", "a moment's carelessness", or rephrase as "a single thought can make all the difference").
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**Missing content**: bare headings with no body — flag, don't invent.
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@@ -115,6 +122,10 @@ See `references/buddhist-terminology.md` for Chinese-English term mappings and c
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- **Never delete .dj comparison files** — intentional work artifacts
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- **Verify patches with `cat`** — `read_file` dedup makes it unreliable
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- **Re-read before fixing** — user may have made interim edits
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- **Em-dash drift**: AGENTS.md mandates `—` (Unicode em-dash) → `---` (three hyphens) in English djot. The Chinese source often uses `------` (six hyphens) as its em-dash equivalent; converters or translators may preserve it as a Unicode `—` in the target, which is a convention violation. Run a single find/replace `—` → `---` over the target. Long files typically have 30–50 such instances.
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- **Batch terminology lookups** — when checking many terms against the terms DB, run them in one `execute_code` script that loops over a query list and calls `search.py` via `subprocess.run`. One terminal call per term floods the context with repetitive output.
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- **Clunky idioms aren't translation errors, they're review items** — a literal calque of a Chinese idiom can read as a typo to a native English reader. Flag these under "Cleanup needed", not "Real errors", and suggest a standard rendering rather than trying to fix in place without confirmation.
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- **Stale-phrasing sweep before declaring done** — after applying patches, run a single script that asserts the target contains zero of the fixed-but-replaced strings, zero Unicode em/en-dashes, and the expected count of the new phrasings. Missed instances (e.g. "mind of death-mindfulness" fixed on L21–L24 but forgotten on L68) survive regular spot-checks. Use `stale = [...]` and `new = [...]` lists; print `[STILL PRESENT (N)]` and `[OK]` per item. Also assert `line_count == source.line_count` and `heading_count == source.heading_count`.
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## References
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