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. itai no doo shita, itai no ? %mov:"11116"_292034_293944 FAT · japanese_ishii/11116.cha, line 230 · Jun 1;11
  2. kore doo shiten no ? %mov:"11116"_872571_872571 FAT · japanese_ishii/11116.cha, line 607 · Jun 1;11
  1. japanese_ishii/11116.cha, line 230 · Jun, 1;11.16
    FATpompon koko ya . %mov:"11116"_285770_289324
    FATotete wa? %mov:"11116"_289324_292034
    FAT*FAT: itai no doo shita, itai no ? %mov:"11116"_292034_293944
    CHInama . %mov:"11116"_293944_293944
    FATe ? %mov:"11116"_297340_297911
  2. japanese_ishii/11116.cha, line 607 · Jun, 1;11.16
    CHIwanwan . %mov:"11116"_871348_872111
    FATwanwan@o . %mov:"11116"_872111_872571
    FAT*FAT: kore doo shiten no ? %mov:"11116"_872571_872571
    CHIbataan tta . %mov:"11116"_873325_875396
    FATe ? %mov:"11116"_875396_875992

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. doo2 · 100.0%