VER 1.0.0

ChinglishAI
Tech White Paper

Define calculation frame for culture-cross talk change, meme run, and meaning fly.

01. Abstract Say

Language no stop; it alive, it move thing. ChinglishAI bring new way to Computer Talk Make (NLG) that put "meme strong" over grammar right. By using Big Talk Model (LLM) learn on secret data of super-fire Chinglish words, we fake nature select of talk change. This paper show our three-engine building: Make Engine (Change), Choose Engine (Pick), and Look Engine (Culture Decode).

02. System Build

The Make Engine (Change)

Do job for making talk different. Not like old translate machine that kill error, this engine make big "meaning tension"—the hole between word-to-word and heart-to-heart.

  • Word-to-Word Bias Put In
  • Grammar Order Mix Up
  • Idea Map Move Over

The Choose Engine (Pick)

Act as world filter. It guess "fire power" of made words based on net trends, short size, and shock feel.

  • Fire Number Guess Model
  • Meme Live Game (A/B Test)
  • Feed Back Circle Add In

The Look Engine (Decode)

Break down culture back of Chinglish words, say *why* a word is funny or deep to both English native and Chinese speaker.

  • Cross-Culture Sign Look
  • Funny Theory Count
  • Root Find Map

03. How We Do

Our model learn on pick data of 50,000+ real Chinglish things, find from sign, menu, movie word, and net talk. Every thing mark with:

Real Chinese Text
Word-to-Word Translate
Real Mean Want Say
Fire Score (0-100)

By use Strong Learn from People Feedback (RLHF), model learn to like result that make people "haha" or "oh wow", not just grammar right.