Multilingual Search Challenges
The main problem faced by multilingual websites is the linguistic differences in stemming extraction and tokenization. orama natively supports processing power for 30 languages, and the following are specific optimizations:
Realization of the program
- Language Configuration: Specify when creating an index
languageparameter, the supported languages include English (en), Chinese (zh), and 30 others. If the site supports multiple languages, consider creating separate indexes for each language. - Chinese Special Processing: For Chinese and other languages that do not separate words, it is recommended to use jieba and other word-splitting tools to pre-split the words before inserting the data, and store the results in a space-separated form in the text field.
- Synonym Expansion: It is possible to configure synonym lists for important terms, automatically expanding the query terms during searches. This is particularly useful in scenarios such as e-commerce.
- stem extraction: For European languages, Orama automatically applies a stemming algorithm to group different forms of words into the same stem.
Advanced Techniques
- For mixed-language content, consider storing content in different languages in separate fields.
- Using Orama's spelling tolerance feature (
toleranceparameter) can alleviate the problems posed by language variants. - Important: The language setting affects the selection of parameters for the search sort algorithm (BM25) and may require tuning.
Effectiveness Verification
Establish A/B testing mechanism to compare the relevance of search results under different language processing strategies and continuously optimize the model parameters.
This answer comes from the articleOrama: a high-performance full-text book and vector search engineThe
May not be reproduced without permission:AI productivity tools " How to optimize Orama's search accuracy in a multilingual website?
