This ticket is to track work by @Julia.glen on implementing NLP Search Suggestion “Method 1” for 10 additional languages.
From the parent task:
- Method 1: Mine search logs for common queries and create an efficient method for choosing candidates to make suggestions for incoming queries based on similarity to the original query, number of results, and query frequency. Only applicable for languages with relatively small writing systems (alphabets, abjads, syllabaries, etc.).
The list of 10 languages is to be TBD, but will probably be based mostly on search volume, subject to the constraint that the writing systems have a relatively small number of characters (Germanic, Romance, Slavic, Semitic, Turkic, Iranian, ...)
Please create sub-tasks or add details here as necessary.