d32eae8aac0800cc215e6f3383cee6ba8788fbeb
The gesture was web-only, so the sample was skewing to the turns he happens to type. Voice is where the hard cases are. Half of it already existed: the repair rung has read "нет, это была заметка" since V-455. It taught the classifier and wrote no durable label, so the two paths disagreed about what a correction is. It now writes both. Two sinks and not one on purpose: the classifier seed makes the next turn better today, and the label is what a fitted head trains on after the transcript expires. The trace id is stamped onto the remembered turn after the fact, because the trace is written when the turn ends and recordTurn runs in the middle of it. New: the untargeted half. "нет, не так" writes the negative and redoes nothing, because there is no target to redo it as. Voice needs this more than the web does — naming an intent aloud means saying "заметка" or "факт", which is her vocabulary and not his. repair_negatives is a new closed lexicon set matched against the WHOLE utterance, never as a substring. That is what keeps it apart from repair_markers, where "это не" is a fragment that needs an intent word after it. A member that could appear inside an ordinary sentence does not belong in the set.
Description
No description provided
Languages
Go
97.1%
HTML
0.9%
Shell
0.6%
CSS
0.5%
Makefile
0.3%
Other
0.6%