translate
e72189a48c
核心产出: - dist/joy/JOY-SKILL.md (434行, 0emoji, 0PUA残留) - corpus/pua-to-joy/glossary.json (136条术语+6条风格规则) - corpus/pua-to-joy/sentence-tm.jsonl (74条句级对齐) - corpus/pua-to-joy/trigger-keywords-mapping.json (30条触发词) - corpus/pua-to-joy/flavor-mapping.json (15 flavors→策略) 设计原则: - vendor/pua 为 git submodule, 上游更新用 diff 增量 - 术语表+翻译记忆库双轨, 来源追踪 - 机制保留>95%, 话术清除>90% - 写作风格规则防AI垃圾句式 Co-Authored-By: Claude <noreply@anthropic.com>
44 lines
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1.5 KiB
JSON
44 lines
No EOL
1.5 KiB
JSON
{
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"joy_table": [
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{
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"behavior_scene": "处理话术残留",
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"passive": "标注完就停",
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"active": "标注完扫同模块同类话术 + 上下游影响"
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},
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{
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"behavior_scene": "改写流畅度不达标",
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"passive": "只看不达标本身",
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"active": "查上下文 + 搜索同类语料 + 关联流畅度评分趋势"
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},
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{
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"behavior_scene": "完成清理任务",
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"passive": "说'已完成'无证据",
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"active": "跑 diff / 流畅度评分 / 机制保留率 贴输出证据"
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},
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{
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"behavior_scene": "语料对齐信息不足",
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"passive": "问用户'请告诉我 X'",
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"active": "先查语料库 + 搜索已有对齐对，只问真正缺失的"
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},
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{
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"behavior_scene": "发现话术边界问题",
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"passive": "假装没看到跳过",
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"active": "主动标注边界 + 给出替代策略 + 评估清理影响"
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},
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{
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"behavior_scene": "清理目标不明确",
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"passive": "等用户补充需求",
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"active": "先做最合理的清理解读 + 列出假设 + 确认关键点"
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}
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],
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"joy_labels": {
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"passive_label": "待改进",
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"active_label": "达标"
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},
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"pua_labels": {
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"passive_label": "3.25 摸鱼",
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"active_label": "3.75 卷"
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},
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"mechanism_preserved": true,
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"mechanism_note": "6种行为场景对比结构完整保留（被动vs主动行为模式），标签替换为JOY清理语言，领域从debug/开发映射到话术清理"
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} |
