Operational Guidelines for Cross-Language Literature Research
Local Deep Researchs multilingualism is particularly well suited to comparative studies:
- Automatic Language Detection: Enter a question in Chinese such as "Japan's aging policy" and the tool will search for Japanese/English information at the same time.
- Bilingual cross-reference generation: Set TRANSLATE_OUTPUT=True in .env to get key paragraph translation
- Regionalized search: Configure the search_region parameter to locate academic resources in a specific country.
Typical workflow:1) Ask questions in Chinese to get the initial framework; 2) Check the automatic summarization of non-English literature; 3) Use the local_docs function to supplement local foreign language PDFs; 4) Finally generate a Markdown report with multilingual references. For example, when researching Germany's Industry 4.0, the tool automatically integrates German technical white papers and English analysis reports.
This answer comes from the articleLocal Deep Research: a locally run tool for generating in-depth research reportsThe
May not be reproduced without permission:AI productivity tools " How to Apply Local Deep Research's Multilingual Search Feature in Academic Literature Review?
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