PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

6.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (118 utterances, 308 words searched).

  1. wanwan@o yoo . %mov:"10616"_140656_142936 FAT · japanese_ishii/10616.cha, line 95 · Jun 1;06
  2. hichi ji desu yoo [<] . %mov:"10616"_259932_262250 FAT · japanese_ishii/10616.cha, line 172 · Jun 1;06
  1. FATkore (wa) kubi ga tore soo ya . %mov:"10616"_133513_137383
    FATyoshi . %mov:"10616"_137383_140656
    FAT*FAT: wanwan@o yoo . %mov:"10616"_140656_142936
    FATJunkun, asobimashoo xxx . %mov:"10616"_142936_145213
    CHIwaa . %mov:"10616"_145213_147350
  2. FATokki shimashita ka,, wanwan@o . %mov:"10616"_251562_259932
    CHIaa [>] . %mov:"10616"_259932_262250
    FAT*FAT: hichi ji desu yoo [<] . %mov:"10616"_259932_262250
    CHIaa aa . %mov:"10616"_262250_263124
    FATaa aa shita no . %mov:"10616"_263124_264016

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_ishii6.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10616.chaJun 1;6.16308226.49

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. yoo2 · 100.0%