PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (221 utterances, 545 words searched).

  1. pappa # soosoo, baibaai .%mov:"10600"_26727_28905 FAT · japanese_ishii/10600.cha, line 37 · Jun 1;06
  2. soosoo, roketto desu nee . %mov:"10600"_67275_68680 FAT · japanese_ishii/10600.cha, line 67 · Jun 1;06
  1. japanese_ishii/10600.cha, line 37 · Jun, 1;6.01
    FATbubuu@o [= car] ya . %mov:"10600"_25385_26182
    FATuun . %mov:"10600"_26182_26727
    FAT*FAT: pappa # soosoo, baibaai .%mov:"10600"_26727_28905
    FATkore (wa) nan desu ka,, kore . %mov:"10600"_28905_29963
    CHIuu uu . %mov:"10600"_29963_31021
  2. japanese_ishii/10600.cha, line 67 · Jun, 1;6.01
    CHIbuun [>] . %mov:"10600"_64844_67275
    FATbuun [<] . %mov:"10600"_64844_67275
    FAT*FAT: soosoo, roketto desu nee . %mov:"10600"_67275_68680
    FATsugoi nee . %mov:"10600"_68680_69530
    FATkore wa ? %mov:"10600"_69530_69530

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_ishii3.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10600.chaJun 1;6.01545223.67

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. soosoo2 · 100.0%