--- name: translation-review 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). --- # Translation Review Two workflows, used depending on input format. ## Workflow A: CSV/XLSX batch review Use when input is a CSV/XLSX with `Chinese`/`English` columns. Produces an `edit-suggestions.dj` file. ### 1. Get the data into CSV If XLSX, export to CSV (or use `openpyxl`). CSV is faster. ### 2. Read the full file Use `read_file` with offsets for complete coverage. Don't sample. ### 3. Write a systematic analysis script Write to `/tmp/script.py`, run with `python3 /tmp/script.py`. No heredocs or `-c`. The script should: - Parse CSV with `csv.DictReader` - Apply detection rules per category - Collect issues: row number, CN text, EN text, problem, suggested fix - Group/deduplicate identical issues Common detection categories: - **Buddhist terminology**: 正念→mindfulness (not "righteous thoughts"), 布施→generosity (not "alms") - **Identity terms**: 学士/修士/胜士/智士 are practice stages, not titles - **Literal machine translations**: "hard drive" for 硬盘 (endurance) - **四摄法 terms**: 同事→"acting in harmony", 爱语→"kind speech" - **Grammar**: subject-verb agreement, unbalanced quotes - **Typos/formatting**: Chinese punctuation in English, "IOS"→"iOS" - **Inconsistency**: same CN term translated differently across rows ### 4. Write edit-suggestions.dj Format: ``` # 1 original: translated: # 2 ... ``` One entry per problem category, not per row. Mention affected row numbers. ## Workflow B: .dj comparison file review Use when input is a `.dj` comparison file (Chinese/English alternating line pairs). Produces `translation-findings.dj` and applies patches. ### 1. Read the full file Use `terminal: cat` — `read_file` deduplicates within a session. ### 2. Scan for problems (ordered by severity) **Sanity checks first** (mechanical, no judgment needed): - **Line count**: source and target must match exactly. Mismatch means paragraphs were dropped, merged, or split. - **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. - **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. **Terms database drift** (systematic): - Cross-reference glossary terms against the MPI terms database - CLI preferred: `python3 /home/user/documents/mpi/terms-search/search.py `. For a review, batch many queries in one `execute_code` script (subprocess loop) — one terminal call per term is slow and noisy. - Source priority: DoT定稿 > 内部特色词 > 佛教术语 > 经论名 - Fix both glossary comments AND body text - See `references/terms-db-alignment.md` for batch-lookup patterns **Real errors** (affect meaning): - Mistranslation of key terms - Garbled/malformed source text - Wrong proper names or technical terms **Inconsistency** (confusing but not wrong): - Terminology drift across file - Numbering style chaos - Grammatical voice/person shifts **Cleanup needed**: - Processing artifacts (HTML comments, markers) - Stray spacing in Chinese text - Awkward line splits - Odd word choices - 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"). - 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"). **Missing content**: bare headings with no body — flag, don't invent. ### 3. Dump findings to `translation-findings.dj` ``` Finding N — Title (line numbers) Chinese: ... English: ... Issue: description ``` ### 4. Apply fixes with `patch` Surgical string replacement. Verify every patch with `cat` — never rely on `read_file` (session dedup). ## Buddhist terminology reference See `references/buddhist-terminology.md` for Chinese-English term mappings and common pitfalls. ## Pitfalls - **Don't use heredocs or `-c`** — write to `/tmp/script.py` first - **Deduplicate aggressively** — group by problem type, not per-row - **Buddhist terminology is technical** — don't guess. When uncertain, flag for review - **Never delete .dj comparison files** — intentional work artifacts - **Verify patches with `cat`** — `read_file` dedup makes it unreliable - **Re-read before fixing** — user may have made interim edits - **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. - **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. - **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. - **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`. ## References - `references/buddhist-terminology.md` — Chinese-English Buddhist term mappings and pitfalls - `references/terms-db-alignment.md` — Batch-aligning glossary terms against the MPI terms database