iacore
90b965a867
split the review skills into self- and other- the self- variant makes informational comments the other- variant makes nice comments Google docs is a failure
79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
#!/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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