PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 814 words searched).

  1. are, kono hito doo shiten no ? %mov:"20113"_970008_971186 FAT · japanese_ishii/20113.cha, line 686 · Jun 2;01
  2. kono akachan een'een@o naiteru, kono hito ? %mov:"20113"_978232_981434 FAT · japanese_ishii/20113.cha, line 692 · Jun 2;01
  1. japanese_ishii/20113.cha, line 686 · Jun, 2;1.13
    FATun . %mov:"20113"_953100_953597
    CHIxxx . %mov:"20113"_953597_970008
    FAT*FAT: are, kono hito doo shiten no ? %mov:"20113"_970008_971186
    CHIn ? %mov:"20113"_971186_972147
    FATkono akachan . %mov:"20113"_972147_972724
  2. japanese_ishii/20113.cha, line 692 · Jun, 2;1.13
    FATeen'een@o yuuteru ? %mov:"20113"_976109_977645
    CHIn ? %mov:"20113"_977645_978232
    FAT*FAT: kono akachan een'een@o naiteru, kono hito ? %mov:"20113"_978232_981434
    CHIn ? %mov:"20113"_981434_982889
    CHItopo . %mov:"20113"_982889_986709

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_ishii2.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20113.chaJun 2;1.13814222.46

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. hito2 · 100.0%