Add Skills
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iacore
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---
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name: translation-review
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description: Review Chinese↔English translation pairs for quality issues — terminology errors, grammar, consistency, formatting. Works with CSV/XLSX files and writes edit suggestions in .dj format.
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---
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# Translation Review
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## When to use
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- User has a CSV or XLSX file with `Chinese`/`English` (or similar) columns
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- User asks you to "find problems," "check translations," or "review localization"
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- User mentions `.dj` edit-suggestions files
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## Workflow
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### 1. Get the data into CSV
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If the file is XLSX, have the user export to CSV (or use `openpyxl` if installed). CSV is easier and faster to process. The user may also provide XHTML — CSV is preferred.
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### 2. Read the full file
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Use `read_file` with offsets to get the complete CSV into context. Don't sample — issues repeat across rows and you need full coverage.
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### 3. Write a systematic analysis script
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Write a Python script to `/tmp/` and run it with `terminal: python3 /tmp/script.py`. Do NOT use heredocs (`<<'PYEOF'`) or `-c` — the terminal tool may block these. Always write to a temp file.
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The script should:
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- Parse the CSV with `csv.DictReader`
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- Apply detection rules (regex-based) for each known issue category
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- Collect issues with: CSV row number, page context, CN text, EN text, problem description, suggested fix
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- Group/deduplicate identical issues across rows
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Common detection categories for Chinese→English:
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- **Buddhist terminology**: 正念→mindfulness (not "righteous thoughts"), 布施→generosity (not "alms"), 胜解→resolute conviction, etc.
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- **Identity terms**: 学士/修士/胜士/智士 are practice stages, not "bachelor/monk/winner/wise man"
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- **Literal machine translations**: "Is we"→"if we", "hard drive" for 硬盘 (endurance), "Walk without letting go" for 行舍不放逸
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- **四摄法 terms**: 同事→"acting in harmony" (not "colleagues"), 爱语→"kind speech" (not "love words")
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- **Grammar**: subject-verb agreement, "have it been"→"has it been", unbalanced quotes
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- **Typos/formatting**: "AndroidAndroid", "IOS"→"iOS", unbalanced HTML tags, Chinese punctuation in English
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- **UI terminology**: "Suspended"→"Paused" for media, product name consistency
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- **Inconsistency**: same CN term translated differently across rows (e.g., "Bodhi Navigator" vs "Bodhi Navigation")
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### 4. Deduplicate into unique issue categories
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The same error pattern often repeats across many rows (e.g., "subversion" for 覆 appears in 6+ rows). Group these into single entries in the .dj file — one entry per unique problem, with a list of affected rows.
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### 5. Write edit-suggestions.dj
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Format:
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```
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# 1
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original: <Chinese text or key term>
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translated: <current English>
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<Explanation of the problem and suggested fix.>
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# 2
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...
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```
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Each entry gets a `# N` header, `original:` and `translated:` fields, then a free-text explanation. End with suggested replacement text. Mention affected row numbers. For globally-wrong terms, note "Change globally."
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Do NOT write one entry per CSV row — group by problem type.
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### 6. Sanity check
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Run a quick second pass to catch: empty English fields, Chinese characters leaking into English column, untranslated rows (CN == EN), trailing whitespace.
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## Pitfalls
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- **Don't use heredocs or `-c` for multi-line Python** — write to `/tmp/script.py` first, then `python3 /tmp/script.py`. The terminal tool may block heredocs as long-lived processes.
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- **Deduplicate aggressively** — 80+ raw issues may collapse to 20-25 unique categories. Writing one .dj entry per CSV row is useless noise.
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- **Buddhist terminology is technical** — don't guess. 正念 is mindfulness (sati), not "righteous thoughts." 唯识 is Yogācāra/Consciousness-Only, not "knowledge and view alone." When uncertain, flag for human review rather than confidently suggesting wrong fixes.
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- **Don't delete the comparison/对照 file** — translation projects keep these as intentional work artifacts.
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## .dj file format reference
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```
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# N
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original: <source text>
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translated: <current translation>
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<Free-text explanation and suggestion. Can be multiple paragraphs.>
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# N+1
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...
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```
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Entries may end with `{% TK %}` to mark "to check" items. The file lives alongside the source CSV/XLSX in the same directory.
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@@ -0,0 +1,78 @@
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#!/usr/bin/env python3
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"""Reference: reusable detection rules for Chinese→English translation review.
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Adapt the rules list for each project's domain vocabulary."""
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import csv, re, sys
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def review_csv(csv_path):
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rows = []
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with open(csv_path) as f:
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reader = csv.DictReader(f)
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for r in reader:
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rows.append((r.get('page', '') or '', r['Chinese'] or '', r['English'] or ''))
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issues = []
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def add(row_idx, cn, en, problem, suggestion):
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issues.append({
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'row': row_idx + 2,
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'page': rows[row_idx][0],
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'cn': cn, 'en': en,
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'problem': problem,
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'suggestion': suggestion
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})
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for i, (page, cn, en) in enumerate(rows):
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if not cn or not en:
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continue
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# ── Add project-specific detection rules below ──
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# Example: "Is we" → machine translation artifact
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if re.search(r'\bIs we\b', en):
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add(i, cn, en,
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"'Is we' — literal MT of 是否/如果. Should be 'if we' or 'whether we'",
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re.sub(r'\bIs we\b', 'if we', en))
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# Example: Chinese punctuation in English text
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if re.search(r'[，。；：！？、]', en):
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add(i, cn, en,
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"Chinese punctuation in English text",
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"[Replace with English punctuation]")
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# Example: unbalanced HTML tags
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if en.count('<b>') != en.count('</b>'):
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add(i, cn, en,
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f"Unbalanced <b> tags (open={en.count('<b>')}, close={en.count('</b>')})",
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"[Balance tags]")
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# Example: unbalanced double quotes
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if en.count('"') % 2 != 0:
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add(i, cn, en,
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f"Unbalanced quotes ({en.count(chr(34))} total)",
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"[Balance quotation marks]")
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# Example: term inconsistency check
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# if re.search(r'TermA', en) and re.search(r'TermB', en) and ...
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# ── Sanity checks ──
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for i, (page, cn, en) in enumerate(rows):
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if cn and not en:
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print(f"WARNING row {i+2}: CN present but EN empty: {cn[:80]}")
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cn_chars = re.findall(r'[\u4e00-\u9fff]', en)
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if cn_chars:
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print(f"WARNING row {i+2}: Chinese chars in EN: {cn_chars}")
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if cn and en and cn.strip() == en.strip():
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print(f"WARNING row {i+2}: CN==EN (untranslated): {cn[:60]}")
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return issues
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if __name__ == '__main__':
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issues = review_csv(sys.argv[1])
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print(f"Issues found: {len(issues)}")
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for iss in issues:
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print(f"\nCSV_ROW_{iss['row']} [{iss['page']}]")
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print(f" CN: {iss['cn'][:120]}")
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print(f" EN: {iss['en'][:120]}")
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print(f" PROBLEM: {iss['problem']}")
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print(f" SUGGEST: {iss['suggestion'][:150]}")
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Reference in New Issue
Block a user