PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (254 utterances, 588 words searched).

  1. hottara [<] +... %mov:"20525"_391960_393783 FAT · japanese_ishii/20525.cha, line 216 · Jun 2;05
  2. hottara dame yo [>] . %mov:"20525"_393783_396248 FAT · japanese_ishii/20525.cha, line 217 · Jun 2;05
  1. FATdakara kowaren ne . %mov:"20525"_390831_391960
    CHIkowarenai no [>] . %mov:"20525"_391960_393783
    FAT*FAT: hottara [<] +... %mov:"20525"_391960_393783
    FAThottara dame yo [>] . %mov:"20525"_393783_396248
    CHIkowana [<] +... %mov:"20525"_393783_396248
  2. CHIkowarenai no [>] . %mov:"20525"_391960_393783
    FAThottara [<] +... %mov:"20525"_391960_393783
    FAT*FAT: hottara dame yo [>] . %mov:"20525"_393783_396248
    CHIkowana [<] +... %mov:"20525"_393783_396248
    CHIeebiishii [= ABC] no basu . %mov:"20525"_396248_397994

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_ishii3.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20525.chaJun 2;5.25588223.40

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. hottara2 · 100.0%