PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (159 utterances, 369 words searched).

  1. mohitotsu are mo irete kudasai . %mov:"10220"_190341_191505 FAT · japanese_ishii/10220.cha, line 112 · Jun 1;02
  2. kiiro no irete kudasai . %mov:"10220"_191505_192669 FAT · japanese_ishii/10220.cha, line 113 · Jun 1;02
  1. FATxxx . %mov:"10220"_188216_189706
    FAThai . %mov:"10220"_189706_190341
    FAT*FAT: mohitotsu are mo irete kudasai . %mov:"10220"_190341_191505
    FATkiiro no irete kudasai . %mov:"10220"_191505_192669
    FAThai, joozu ni hairimashitaa . %mov:"10220"_192669_192669
  2. FAThai . %mov:"10220"_189706_190341
    FATmohitotsu are mo irete kudasai . %mov:"10220"_190341_191505
    FAT*FAT: kiiro no irete kudasai . %mov:"10220"_191505_192669
    FAThai, joozu ni hairimashitaa . %mov:"10220"_192669_192669
    FATare ? %mov:"10220"_196447_197126

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_ishii5.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10220.chaJun 1;02.02369225.42

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. irete2 · 100.0%