translate, done with 众生都是既然众生 and 佛教徒的人生态度

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# Markdown to Djot Conversion
When source material arrives as `.docx.md` (pandoc-converted from docx), convert to `.dj` for translation workflows.
## Splitting combined articles
If a single markdown file contains multiple articles (common when docx has two talks in one file), split at the article boundary before converting. Use `sed` by line number:
```bash
sed -n '1,218p' combined.md > a1.md
sed -n '220,282p' combined.md > a2.md
```
## Heading anchor cleanup
Pandoc's docx→md conversion adds `{#heading-id}` anchors to every heading:
```markdown
## 1.安宁疗护 {#1.安宁疗护}
```
These must be stripped before markdown→djot conversion, otherwise pandoc's djot writer leaves stray `{#...}` lines in the output:
```bash
sed 's/ {#[^}]*}//g' input.md > clean.md
```
## Conversion command
```bash
pandoc clean.md -f markdown -t djot --wrap=none -o output.dj
```
`--wrap=none` prevents reflow of long paragraphs.
## Post-conversion cleanup
Pandoc may still leave stray `{#...}` lines in djot output. Remove them:
```bash
sed -i '/^{#.*}$/d' output.dj
```
## Pandoc artifacts
- Unicode `——` (U+2014 × 2) → `------` in djot (two em dashes, `---` each). This is correct djot syntax.
- Markdown hard line breaks (trailing ` `) → `\\\n` in djot. Preserves original paragraph structure.
- Pandoc normalizes heading IDs (strips `、` and other punctuation). Ignore; the stray-line cleanup handles it.
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# Meditation / Mindfulness Content Translation
When the source is a guided meditation script, exercise guide, posture instruction,
or breathing practice (rather than a Dharma talk, sutra commentary, or teaching text),
use a lighter workflow than the full dharma-translation pipeline.
## Register
Default to warm, direct instructional voice (Thầy-adjacent):
- Second-person address ("you")
- Concrete images, sensory details
- Oral rhythm, short sentences
- Present tense, imperative mood
MB corpus consultation is NOT needed for register — this content type has its own
well-established English conventions (yoga/meditation instructional voice).
## Terms
Terms DB lookup for Buddhist-mindfulness vocabulary is useful but limited to key terms:
- 正念 → mindfulness
- 觉知 → awareness
- 无我 → depends on context: "non-self" for philosophical/Dharma content; "selflessly" for embodied/movement instruction where the sense is no separate controller imposing on the action
- 中道 → Middle Way
- 丹田 → dantian (keep as-is; well-known in meditation/qigong)
Context-sensitive terms:
- 心 (xīn): in meditation/movement contexts it often means "mind/attention" not emotional "heart." 持心 means holding the mind with focused attention, not holding with emotion.
- 念 (niàn): mindfulness/attention/recollection — context between these.
- Buddhist philosophical terms (无我, 空, 缘起) in non-philosophical contexts (movement instruction, body scans) may need practical/concrete translations rather than doctrinal ones.
Skip deep terms alignment unless dense Dharma vocabulary (emptiness, dependent origination,
Buddha-nature, etc.) appears in the text.
## Comparison files
Still create 对照.dj as usual. See comparison file format in this skill.
## Pitfalls
- **Don't add formatting the source doesn't have**: sub-section labels using `【】` in Chinese should become plain `[label]` in English, not `*[label]*` or `**[label]**`. Match the source's formatting level exactly.
- **`**text**` is Markdown, not Djot**: Djot emphasis uses single asterisks (`*text*`). Never use double asterisks in `.dj` files.
- **心 ≠ heart by default**: in meditation/movement contexts, 持心 = holding the mind with attention, not holding with emotion. Translate based on context, not dictionary defaults.
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# Proofreading: Manuscript vs Typeset
## Two workflows
### A. Bilingual from DOCX (standard)
When the DOCX manuscript has both Chinese and English in 1:1 paragraph
correspondence, generate `bilingual.dj` directly from the DOCX:
1. `pandoc docx → plain text`
2. Extract Chinese-English pairs from body (Chinese line, blank, English line, blank)
3. Apply fixes: italicize Sanskrit on first occurrence, fix `N.Letter``N. Letter` spacing
4. Write bilingual.dj
The DOCX English is the authoritative target text. No PDF needed.
### B. Bilingual from PDF (when PDF is the typeset target)
When the PDF English is the typeset "final" version and should be the target:
1. Extract DOCX Chinese paragraphs (source)
2. Extract PDF body text via `pdftotext -layout`
3. Clean PDF: remove slug lines, headers, page numbers, join hyphenation breaks
4. Match DOCX English paragraphs against PDF body to find positions
5. Segment PDF body at matched positions
6. Write bilingual.dj with Chinese source + PDF English target
**Pitfalls in PDF extraction:**
- Consecutive hyphenation breaks (e.g. `thou-` + `sand...al-` + `leviate`) — the join
loop must be recursive: after joining pair N, check if result still ends with `-`
and join with line N+2
- Lines with leading whitespace: use `lstrip()` before checking `n[0].islower()`
- Drop-cap artifacts: `L iving``Living`
- Trailing section numbers: `...viewpoints. 1)` — the ` 1)` is a PDF section marker
bleeding into the previous paragraph
### C. Edit suggestions (edit-suggestions.dj)
After generating bilingual.dj, scan for issues and write `edit-suggestions.dj`:
**Format**: follow the original document's section/chapter layout. Group suggestions
under the chapter headings where the issues occur. Use diff-style `-/+` notation.
**What to flag:**
- Garbled Chinese text (merged duplicate edits in source DOCX)
- Repeated words (`the The`)
- Chapter numbering mismatches (e.g. `九``VIII`)
- Translator notes in headings (`(善鑫翻,妙一审)`)
- Missing quotes around dialogue/speech
## Common source DOCX issues
- Translator notes in Chinese headings: `(某某翻,某某审)` — delete for publication
- Merged duplicate edits: cut-paste errors where old+new text appear together
- `N.Letter` without space: `2.How``2. How`
- `the The` double article
## Sanskrit italicization
On first occurrence in body text, wrap with `*term*`. Track seen terms across
the full body. Terms: bodhisattva, bodhicitta, samsara, Dharma, karma, nirvana,
Sangha, sutra, Mahayana, Sravaka, Vinaya, Lamrim, Ksitigarbha, Samantabhadra,
Chan, Arhatship, Theravada.
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# Translation Pitfalls — MPI Buddhist Texts
Patterns found in CN→EN translation review. Add to this file as new patterns emerge.
## Terminology conflation
### 关爱/关怀 → compassion (WRONG)
Chinese 关爱 and 关怀 mean "care" or "loving care." They are NOT 慈悲 (compassion / karuṇā).
Conflating them obscures two distinct Buddhist concepts.
Check every occurrence of "compassion" in a translation against the source:
- If source is 关爱/关怀 → "care"
- If source is 慈悲 → "compassion" (correct)
- If source is 悬壶济世 → "compassionate mission" (correct — the healing spirit)
### 生存层面 → making a living (WRONG)
生存层面 = the existential/survival dimension. Not just earning wages.
→ "survival-level needs" or "the level of basic existence"
## Loss of Dharma meaning
### 生生增上 → continuously elevate our life (INCOMPLETE)
生生 = life after life (multi-life Buddhist perspective). The single-life rendering
"continuously elevate our life" loses the Dharma meaning entirely.
→ "continuously elevate our life, life after life"
## False implication
#### 因病返贫 → "back into poverty"
"返贫" means becoming poor due to illness, not returning to previous poverty. Use "into poverty" or "driven into poverty."
#### Diacritics: use DB form, not academic Sanskrit
| Wrong | Right | Source |
|---|---|---|
| `Mahāsthāmaprāpta` | `Mahasthamaprapta` | 佛教术语 |
| `Yogācārabhūmi Śāstra` | `Yogacarabhumi-Sastra` | 经论名 |
| `Avalokiteśvara` | `Guanyin` | 佛教术语 |
| `pravāraṇā` | `Pavarana` | BAICKZ |
Exception: `Kṣitigarbha` — DoT定稿 uses diacritics, so keep them.
When in doubt, search the DB and follow the highest-priority source. See dharma-translation skill `references/diacritics-convention.md`.
返贫 = become poor (from a non-poor state) due to medical costs. "Back" implies
the person was previously poor — not necessarily true. This is about medical bankruptcy.
→ "into poverty" or "fall into poverty" (no "back")
## DoT定稿 term drift
### 念死 → recollection of death (WRONG per DoT定稿)
DoT定稿 has "Cultivating mindfulness of death" / 佛教术语 has "contemplating the
impermanence of death". The established term is "mindfulness of death", not
"recollection of death." → "mindfulness of death" / "death-mindfulness"
### 三级修学 → Three-Level Study Program (WRONG per DoT定稿)
DoT定稿 has "Three-Stage Practice." → "Three-Stage Practice"
### 下士道/中士道/上士道
DoT定稿: "Path for Persons of Small/Medium/Great Capacity" — not "path of the
initial/middle/great scope."
### 观音菩萨 → Avalokiteśvara (AVOID in MPI translations)
佛教术语 has "Guanshiyin/Guanyin Bodhisattva." Use "Guanyin Bodhisattva."
## Workflow pitfall
### Translating before consulting terms DB
Always search key terms BEFORE translating. The dharma-translation skill says to do
this, but it's easy to skip. Use the CLI: `/home/user/documents/mpi/terms-search/search.py <query>`.
Prioritize DoT定稿 > 内部特色词 > 佛教术语 > 经论名.