Relevanssi Finnish Base Forms
Relevanssi plugin to add Finnish base forms in search index
by Johannes Siipola · github.com/joppuyo/relevanssi-finnish-base-forms · website
★ 2stars
28release downloads
≈10active sites
20composer installs
1forks
Install
The author publishes release zips, so WP-CLI can install straight from GitHub:
wp plugin install https://github.com/joppuyo/relevanssi-finnish-base-forms/releases/download/v1.1.1/relevanssi-finnish-base-forms.zipAlso on Packagist as joppuyo/relevanssi-finnish-base-forms:
composer require joppuyo/relevanssi-finnish-base-formsFrom the readme
Relevanssi Finnish Base Forms
Relevanssi plugin to add Finnish base forms into search index using Voikko.
What does it do?
This plugin allows you to add base forms of Finnish words in Relevanssi search index. For example for word koirillekin, tokens koirillekin and koira are saved in the index during indexing. Learn mode by reading this article (in Finnish).
Options
API type
You can use bundled voikkospell binary (on a linux x64 system) to lemmatize the indexed terms.
There is also an option to use a system-wide voikkospell command line application if you have Voikko installed on your system.
It's also possible to set up an external Node.js API to access Voikko over HTTP. Using the binary or CLI application is much faster because it doesn't have the overhead of performing a HTTP request.
Special thanks to siiptuo for contributing voikkospell support for this plugin!
Add base forms to search query
Enable this option to add base forms to search queries entered by users.
Split compound words
Enable this option to split compound words during indexing (and for user queries if the above option is enabled). For example, the word kerrostaloille is transformed into tokens kerro
Read the full README on GitHub →
Releases
| Tag | Published | Asset | Downloads |
|---|---|---|---|
| v1.1.1 | Aug 11, 2018 | relevanssi-finnish-base-forms.zip | 17 |
| v1.1.0 | Aug 11, 2018 | relevanssi-finnish-base-forms.zip | 11 |
| v1.0.0 | Jun 1, 2018 | — | — |
Active-site estimate ≈10 comes from the median of recent superseded releases. Method.