Windows Copilot에서 제공하는 특정 기능 또는 향상된 기능
Please note that this is KO-KR forum, all threads should be posted in Koreans, however, I will still use English for your case today.
Hi KIM NURI
I’m not aware of any documented limitation that specifically states Korean particles (조사) are normalized in classic orchestration topic matching. Classic orchestration relies on NLU similarity matching against trigger phrases, and near-identical variations can sometimes score differently than expected.
Since 부적합이요? and other particle variations are matching, this does not appear to be a simple issue with the particle 이 itself. It may be a classic NLU classification edge case for that specific utterance.
As a workaround, consider adding common Korean variants as trigger phrases, for example:
-
부적합 나왔어요 -
부적합이 나왔어요 -
부적합이 발생했어요 -
부적합 발생
If the behavior is reproducible in a minimal agent with no competing topics, it would be worth raising a support case or product feedback item, as most Korean speakers would reasonably expect both phrases to match the same topic.