Localization solutions for cross-country research
Mira offers the following solutions to the problems of multilingualism and regionalized presentation differences in the official websites of multinational enterprises:
- Intelligent Language Detection: automatically recognize the main languages of web pages (30+ languages supported) and call the NLP analysis model for the corresponding languages
- cultural contextualization: Identify region-specific expressions (e.g., "high-tech enterprise" in China = "Certified B Corp" in the U.S.) through the Prompt Project.
- Global Data Source Adaptation: Automatic switching of localized search engines (e.g. Baidu for Chinese companies) and compliance with GDPR and other data specifications
Configuration example::
Set in options:{ locale: 'ja-JP', // 强制日文分析
fallbackSearchEngine: 'yahoo.co.jp' }
best practice::
1. For non-Latin sites (e.g., Russian), additional configuration is recommended.{ textExtractionMode: 'conservative' }Avoiding coding problems
2. Use of LinkWin data as a baseline reference for cultural terminology (LinkWin materials are often available in multiple languages)
This answer comes from the articleMira: an AI library of intelligences that automate company research and analysisThe
May not be reproduced without permission:AI productivity tools " How to overcome language and cultural barriers in MNE research?
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