格 千格 KiloCell

Hanja spelling and tone labels

Hanja-Typical Tool to support audio- and multi-sonics

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The Chinese spelling norm and the tone label technique

Chinese spelling (Hanyu) Pinyin is an official Chinese Latinisation programme of the People ' s Republic of China and a United Nations standardized Chinese spelling system. The exact marking of spelling and tone is the basis of the curriculum in the study of Mandarin, foreign Chinese and children ' s drawings.

1. What vowel should the tone be marked on?

Many people often don't know the sound symbol when they type or spell. The letter should be added. The Chinese spelling has a classic "poster":

  • "There is a no-go": If a spelling has an letter a, the sound must be marked on a (e. g. bāo, zh see i).
  • "No a search o e": If not, search o or e and mark them on their heads (e.g. d., shéi).
  • "i u with the following column": If i and u appear at the same time, who is on the last side is on whose head (e. g. ji gi u on u and chube on i).
  • It's natural that a single rhymen is on its own head.

2. Why does automatic acoustic tools need to be used?

Manually enters a sound spell with a tone that is extremely cumbersome. On the standard keyboard, click á or ǚ You need to remember the symbols panel that combines complex shortcuts or uses special input methods. Manual input is extremely inefficient and prone to errors when teachers produce quizzes and edit readings for children. This tool can translate the whole text into standard by one key <ruby> tag format spelling acoustics (i.e., adhesives above the HAND) to support direct copying of HTML Format used for page layout.

3. The problem of the word " hyphen "

A large part of the charm and difficulty in Chinese is in the use of polyphonics. For example, the “háng” of the “bank” and the “xíng” of the “walking” are “the banks”. The advanced spelling conversion tool is not just a simple dictionary map, but is built into a learning system based on a Jieba or machine. NLP Semantic Analysis Engine. It can automatically cut phrases according to context, matching 99%. Correct polyphonic pronunciation, which significantly reduces the cost of manual proofreading.