PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (285 utterances, 754 words searched).

  1. yoshi, nani shite asoboo, Jun ? %mov:"30507"_0_3101 FAT · japanese_ishii/30507.cha, line 11 · Jun 3;05
  2. sore wa Jun ga horu [: hooru] kara ya . %mov:"30507"_793015_794797 FAT · japanese_ishii/30507.cha, line 417 · Jun 3;05
  1. japanese_ishii/30507.cha, line 11 · Jun, 3;5.07
    FAT*FAT: yoshi, nani shite asoboo, Jun ? %mov:"30507"_0_3101
    CHIkore . %mov:"30507"_3101_3655
    FATe ? %mov:"30507"_3655_4047
  2. japanese_ishii/30507.cha, line 417 · Jun, 3;5.07
    CHIkoko ga boroncho ya . %mov:"30507"_791045_792534
    FATun . %mov:"30507"_792534_793015
    FAT*FAT: sore wa Jun ga horu [: hooru] kara ya . %mov:"30507"_793015_794797
    FATkimi ga horu kara sonnna nan nya . %mov:"30507"_794797_797709
    CHIkizu ga tsuiten ne . %mov:"30507"_797709_800905

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_ishii2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30507.chaJun 3;5.07754222.65

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. jun2 · 100.0%