Chinese Name Check

chinesenamecheck.com

Method · NFIP · Live vote n = 0

Native First-Impression Protocol

How verification with native speakers is supposed to work. The rubric is public now. The live panel is not: community voting is later, and we will not fake a score while n = 0. Until then, the automated first layer is the checker, documented in lib/engine/RULES.md — no LLM.

Output is a distribution

Raters do not average into a 94. A name can be “real personal name” for eight people and “foreign spelling” for two. That split is the result. A single number would hide the disagreement that actually matters.

Sample empty panel · n = 0

  • Real personal name0
  • Foreign spelling0
  • Nickname0
  • Not a name0
  1. 01

    First glance

    In one look, what is this?

    • A real personal name
    • A foreign spelling / transliteration
    • A nickname
    • Not a name
  2. 02

    Apparent gender

    Without being told, this reads as…

    • Masculine
    • Feminine
    • Unmarked / either
    • Cannot tell
  3. 03

    Apparent era

    When would you expect to meet this name?

    • Contemporary
    • A generation older
    • Literary / historical
    • Out of time / invented
  4. 04

    Said fast

    When spoken quickly, does it snag?

    • Clean
    • Funny
    • Food / menu
    • Slang
    • Unlucky or dirty homophone
  5. 05

    Would you put this on a classmate?

    Could you introduce a colleague with this and not explain?

    • Yes, without a footnote
    • Only with a story
    • No

Why five items, not a vibe

Natives clock a name in the time it takes to read a WeChat display. The protocol forces that glance into language: is it a person, a spelling, a pet name, or a caption? Does gender and era land? Does it turn into salad, slang, or bad luck when said fast? Would you put it on a classmate without explaining? Those are the tells teachers and generators skip because they are optimizing for sound.

The automated first layer

Before any rater panel, the Keep / Kill / Fix checker runs a deterministic heuristic: 百家姓 structure, classic transliterations, 间隔号, food collisions, captions, 娜/莉/丽. Source of truth for those rules: lib/engine/RULES.md in this repo. It does not call a model. Unsure is Fix, never Keep. That is a filter, not a native first impression. NFIP is the human layer we are publishing the shape of now.

What n = 0 means

It means we will not imply a live community, a follower count, or a stacked bar of invented percentages. When voting exists, the same five items will fill the distribution above. Until then, use the checker on a name you already have, or get a native name if you want the work done without a generator.

The questions this protocol answers

Still holding a generator-shaped name? Run the checker.