PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (292 utterances, 723 words searched).

  1. Junkun no meme [= eyes] doko desu ka ? %mov:"11116"_262885_264853 FAT · japanese_ishii/11116.cha, line 205 · Jun 1;11
  2. un, Junkun, Junkun no meme wa? %mov:"11116"_266785_269653 FAT · japanese_ishii/11116.cha, line 208 · Jun 1;11
  3. meme [: eyes] ya . %mov:"11116"_880016_880566 FAT · japanese_ishii/11116.cha, line 615 · Jun 1;11
  1. CHIxxx ka ka . %mov:"11116"_258167_260365
    CHImee # ensha . %mov:"11116"_260365_262885
    FAT*FAT: Junkun no meme [= eyes] doko desu ka ? %mov:"11116"_262885_264853
    CHIko meme . %mov:"11116"_264853_266785
    FATun, Junkun, Junkun no meme wa? %mov:"11116"_266785_269653
  2. FATJunkun no meme [= eyes] doko desu ka ? %mov:"11116"_262885_264853
    CHIko meme . %mov:"11116"_264853_266785
    FAT*FAT: un, Junkun, Junkun no meme wa? %mov:"11116"_266785_269653
    FATdoko ? %mov:"11116"_269653_271067
    FATa, soko . %mov:"11116"_271067_271661
  3. CHIhora . %mov:"11116"_878030_878939
    FATshitenai . %mov:"11116"_878939_880016
    FAT*FAT: meme [: eyes] ya . %mov:"11116"_880016_880566
    FATkoo shiten ne . %mov:"11116"_880566_881346
    FATmienai yaro? %mov:"11116"_881346_882456

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_ishii4.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11116.chaJun 1;11.16723334.15

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. meme3 · 100.0%