PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (292 utterances, 723 words searched).

  1. wanwan@o ya nee . %mov:"11116"_540091_540952 FAT · japanese_ishii/11116.cha, line 362 · Jun 1;11
  2. wanwan@o . %mov:"11116"_872111_872571 FAT · japanese_ishii/11116.cha, line 606 · Jun 1;11
  1. japanese_ishii/11116.cha, line 362 · Jun, 1;11.16
    FATkore wa nan ya ? %mov:"11116"_537630_538890
    CHIn wanwan . %mov:"11116"_538890_540091
    FAT*FAT: wanwan@o ya nee . %mov:"11116"_540091_540952
    CHIxxx . %mov:"11116"_540952_541643
    CHIhora atchitchi . %mov:"11116"_541643_546581
  2. japanese_ishii/11116.cha, line 606 · Jun, 1;11.16
    CHIkoe wa ? %mov:"11116"_869534_871348
    CHIwanwan . %mov:"11116"_871348_872111
    FAT*FAT: wanwan@o . %mov:"11116"_872111_872571
    FATkore doo shiten no ? %mov:"11116"_872571_872571
    CHIbataan tta . %mov:"11116"_873325_875396

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_ishii2.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11116.chaJun 1;11.16723222.77

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. wanwan2 · 100.0%