Content Deep Dive
Handling Natural Languages in Search
Blog post from Algolia
Post Details
Company
Date Published
Author
Léo Ercolanelli
Word Count
2,718
Language
English
Hacker News Points
-
Summary
The authors of the text have implemented several features to improve the relevance of search results across different languages, including normalization, typo tolerance, and segmentation of words in queries. The engine is designed to be language-agnostic, but its approach may not work well for all languages, especially those using logograms or agglutinated words. The authors acknowledge that there are still many issues to address and encourage feedback from users.