Polyphone Analyzer

List possible pronunciations, meanings, and example words for common Chinese polyphonic characters.

1.2M uses Updated · 2026-05-25 Runs locally · zero upload
AD

How to Use Polyphone Analyzer

Polyphone Analyzer helps you inspect Chinese characters that may have more than one pronunciation. Enter one Han character, such as 行, 重, 乐, or 长. The result lists stored readings, short meaning notes, and example words for each reading.

Read the examples before choosing a pronunciation. For many polyphonic characters, the correct sound is tied to a word family: 行 is xing2 in 行走 but hang2 in 银行. Seeing examples reduces the chance of choosing a pronunciation by tone alone.

Formula & Theory - Polyphone Analyzer

Readings = localPolyphoneTable[character]
Each reading = pinyin + meaning note + example words

Polyphone analysis is dictionary work. A character code does not tell you which pronunciation is correct in a phrase, and pinyin conversion without context can only guess. This tool therefore exposes a small curated table instead of hiding the decision.

The fallback reading is useful for unlisted characters, but it should not be treated as proof that the character has only one pronunciation.

Use Cases for Polyphone Analyzer

  • Pronunciation review — Check common readings before reading aloud.
  • Vocabulary teaching — Explain how different words trigger different sounds.
  • Dictionary building — Add meanings and examples to a local polyphone table.
  • Copy editing — Verify pinyin annotations in learning material.
  • Self-study — Compare confusing characters in one compact result panel.

Frequently asked questions about Polyphone Analyzer

Why are examples included?

A polyphonic character is easier to understand through words, because pronunciation often depends on lexical meaning.

What if the character is not in the table?

The tool falls back to a standard pinyin reading and indicates that the local dictionary can be expanded.

Can it decide the reading inside a sentence?

This analyzer focuses on listing possible readings; sentence-level disambiguation still needs context.