Gather suggestion output from Elastic-based suggestions and Method 2 (CJK) suggestions for a collection of data, and analyze the results.
Analysis will include counting how often Elastic-based suggestions are made, how often Method 2 suggestions are made, how often both are made, and a manual review of a sample when both are made to see which does better—which is the same as what we did for M0.
I'll be getting help from speakers of Chinese, Japanese, and/or Korean to review the sample where both make suggestions, and any other review that seems to be necessary. (M1 had extra stuff that needed review, for example.)