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. nan desu ka ? %mov:"11116"_387945_388461 FAT · japanese_ishii/11116.cha, line 287 · Jun 1;11
  3. kore wa nan desu ka ? %mov:"11116"_837656_838625 FAT · japanese_ishii/11116.cha, line 580 · 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. CHIxxx . %mov:"11116"_368169_374853
    CHIhai . %mov:"11116"_374853_387945
    FAT*FAT: nan desu ka ? %mov:"11116"_387945_388461
    CHIxxx . %mov:"11116"_388461_389513
    FATe ? %mov:"11116"_389513_390102
  3. FATkore wa nan da, kore wa ? %mov:"11116"_835938_837039
    CHIkoe a ? %mov:"11116"_837039_837656
    FAT*FAT: kore wa nan desu ka ? %mov:"11116"_837656_838625
    CHIxku kukku . %mov:"11116"_838625_841002
    FATJun no kukku [= shoes] wa ? %mov:"11116"_841002_842302

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. desu3 · 100.0%