PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (254 utterances, 588 words searched).

  1. warui ko ya naa . %mov:"20525"_109945_112615 FAT · japanese_ishii/20525.cha, line 77 · Jun 2;05
  2. warui meme ya naa . %mov:"20525"_1103665_1106215 FAT · japanese_ishii/20525.cha, line 534 · Jun 2;05
  1. japanese_ishii/20525.cha, line 77 · Jun, 2;5.25
    CHIchau no yo [>] . %mov:"20525"_107690_109945
    FATchigau ka [<] ? %mov:"20525"_107690_109945
    FAT*FAT: warui ko ya naa . %mov:"20525"_109945_112615
    CHIhore . %mov:"20525"_112615_113554
    CHInaka haitteru wa . %mov:"20525"_113554_116012
  2. japanese_ishii/20525.cha, line 534 · Jun, 2;5.25
    CHImeme ga motteitta ? %mov:"20525"_1099190_1102486
    FATmeme ga motteitta n . %mov:"20525"_1102486_1103665
    FAT*FAT: warui meme ya naa . %mov:"20525"_1103665_1106215
    CHIxxx . %mov:"20525"_1106215_1111238
    FATokashii nee . %mov:"20525"_1111238_1113402

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii3.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20525.chaJun 2;5.25588223.40

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. warui2 · 100.0%