PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,163 words searched).

  1. hee . %mov:"30524"_446619_447490 FAT · japanese_ishii/30524.cha, line 252 · Jun 3;05
  2. hee . %mov:"30524"_730332_731017 FAT · japanese_ishii/30524.cha, line 414 · Jun 3;05
  1. FATherikoputaa mo tondeta . %mov:"30524"_445069_446212
    CHIun . %mov:"30524"_446212_446619
    FAT*FAT: hee . %mov:"30524"_446619_447490
    CHIippai [/] ippai xxx . %mov:"30524"_447490_449472
    CHIhonde naa, Ryootakun [= friend] ko # koko no Shinchan [= friend] no ouchi de koko ni # koko # koko mo tondeta . %mov:"30524"_449472_457438
  2. FATnani o . %mov:"30524"_727704_728237
    CHIeeto na, chokoreeto . %mov:"30524"_728237_730332
    FAT*FAT: hee . %mov:"30524"_730332_731017
    CHIwaa ! %mov:"30524"_731017_734753
    FATmotto # motto kotchi ya . %mov:"30524"_734753_735832

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_ishii1.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30524.chaJun 3;05.241,163221.72

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. hee2 · 100.0%