PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (162 utterances, 358 words searched).

  1. Junkun ohayoo tte . %mov:"10313"_21750_22946 FAT · japanese_ishii/10313.cha, line 23 · Jun 1;03
  2. wanwan, ohayo tte xxx . %mov:"10313"_546750_548291 FAT · japanese_ishii/10313.cha, line 298 · Jun 1;03
  1. japanese_ishii/10313.cha, line 23 · Jun, 1;03.13
    FATohayo wa ? %mov:"10313"_18180_19574
    FATkirinshan [: kirinsan], ohayo . %mov:"10313"_19574_21750
    FAT*FAT: Junkun ohayoo tte . %mov:"10313"_21750_22946
    FATzoosan doko (e) itta,, zoosan . %mov:"10313"_22946_25022
    FATaita ! %mov:"10313"_25022_26706
  2. japanese_ishii/10313.cha, line 298 · Jun, 1;03.13
    FATwan <wan>[>] . %mov:"10313"_543160_546750
    CHI<waa> [<] waawaa .
    FAT*FAT: wanwan, ohayo tte xxx . %mov:"10313"_546750_548291
    FATwanwan, ohayoo wa ? %mov:"10313"_548291_550006
    FATohayoo . %mov:"10313"_550006_551156

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_ishii5.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10313.chaJun 1;03.13358225.59

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. tte2 · 100.0%