Multilingual Research Optimization Program
The Deep Research Web UI enables multi-language research optimization in the following ways:
- explicit language declaration: Use the format "[language code]:subject" (e.g., "JA: Deeper Learning") when typing in the search box, and the system will automatically switch the search engine language preference.
- Mixed Language Tips: For research on multilingual materials, enter a compound instruction such as "Compare the carbon neutral policies of German and English".
- Result Validation Function: Each node in the dendrogram displays the language label of the source page, making it easy to verify the accuracy of the information.
Advanced Configuration Methods:
- Adding PPLX_API_KEY to the .env file enables Perplexity's multi-language enhancement mode.
- For CJK languages such as Japanese/Korean, it is recommended to enter English keywords (e.g., "medical AI applications") at the same time.
- PDF export can choose to retain the original text + machine translation cross-reference version
This answer comes from the articleDeep Research Web UI: an AI assistant supporting multilingual deep researchThe
May not be reproduced without permission:AI productivity tools " How to optimize search results for non-English speaking research projects?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil