The Misspelling Detection feature maps misspellings to their corrected spellings. When Fusion receives a query containing a known misspelling, it rewrites the query using the corrected spelling in order to return relevant results instead of an empty or irrelevant results set.
Spelling corrections are applied in the Text Tagger stage of the query pipeline.
The Token and Phrase Spell Correction job automatically creates spelling corrections based on your AI-generated data. When you navigate to Relevance > Query Rewriting > Misspelling Detection, you can review or edit the output from the job and manually add new spelling corrections. Your changes remain in the
_query_rewrite_staging collection until you publish them.
When you manually add new spelling corrections, subsequent job runs use those documents as input for machine learning to improve the job’s output. Unlike job-generated documents, manually-added query rewriting documents are never overwritten by new job output.
|Misspelled terms are completely replaced by their corrected terms. To instead expand the query to include all alternative terms, see the Synonym Detection feature and set your synonyms to be bi-directional.|