Update nexus: fix conflicts and sync local changes
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@@ -1,51 +1,51 @@
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---
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title: "Language Detection"
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type: concept
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tags: []
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sources: []
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---
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# Language Detection
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## Definition
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AI 自动检测客户消息使用的语言,并在回复时匹配该语言的能力,是多语言客服场景的基础技术。
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## Why It Matters
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小型本地服务企业(餐厅、诊所、发廊)的客户群体通常包含:
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- 本地语言用户(ES/EN)
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- 外语用户(旅游客户、跨境客户)
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- 混合语言消息
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自动语言检测确保 AI 用客户的语言回复,提升客户体验和响应准确率。
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## Implementation
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Language Detection 通常在 Intent Classification 之前执行:
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```
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Customer Message → [Language Detection] → Identify: EN/ES/UA
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↓
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[Intent Classification] → ...
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↓
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[Generate Response in Detected Language]
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```
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## Response Style Guidelines
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| Detected Language | Response Style |
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|-------------------|----------------|
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| EN (English) | Friendly, professional, concise |
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| ES (Español) | Amigable, profesional, conciso |
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| UA (Українська) | Привітний, професійний, стислий |
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## Related Concepts
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- [[Intent-Classification]]:语言检测在意图分类之前执行
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- [[AI-Auto-Response]]:回复语言跟随检测结果
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- [[Multi-Channel-Integration]]:多渠道场景下语言检测尤为重要
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## Sources
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- [[multi-channel-customer-service]]
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---
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title: "Language Detection"
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type: concept
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tags: []
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sources: []
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---
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# Language Detection
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## Definition
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AI 自动检测客户消息使用的语言,并在回复时匹配该语言的能力,是多语言客服场景的基础技术。
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## Why It Matters
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小型本地服务企业(餐厅、诊所、发廊)的客户群体通常包含:
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- 本地语言用户(ES/EN)
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- 外语用户(旅游客户、跨境客户)
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- 混合语言消息
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自动语言检测确保 AI 用客户的语言回复,提升客户体验和响应准确率。
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## Implementation
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Language Detection 通常在 Intent Classification 之前执行:
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```
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Customer Message → [Language Detection] → Identify: EN/ES/UA
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↓
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[Intent Classification] → ...
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↓
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[Generate Response in Detected Language]
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```
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## Response Style Guidelines
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| Detected Language | Response Style |
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|-------------------|----------------|
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| EN (English) | Friendly, professional, concise |
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| ES (Español) | Amigable, profesional, conciso |
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| UA (Українська) | Привітний, професійний, стислий |
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## Related Concepts
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- [[Intent-Classification]]:语言检测在意图分类之前执行
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- [[AI-Auto-Response]]:回复语言跟随检测结果
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- [[Multi-Channel-Integration]]:多渠道场景下语言检测尤为重要
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## Sources
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- [[multi-channel-customer-service]]
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