PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (219 utterances, 572 words searched).

  1. buun@o, herikoputaa da . %mov:"10505"_603113_604511 FAT · japanese_ishii/10505.cha, line 333 · Jun 1;05
  2. buun@o (to) yuuten [: itteru] no . %mov:"10505"_735678_737253 FAT · japanese_ishii/10505.cha, line 414 · Jun 1;05
  1. FATa nan da . %mov:"10505"_595214_598764
    CHIbouaa . %mov:"10505"_598764_603113
    FAT*FAT: buun@o, herikoputaa da . %mov:"10505"_603113_604511
    FATsugoi naa . %mov:"10505"_604511_606202
    FATaa ? %mov:"10505"_606202_607888
  2. CHIbuu uu uu uu . %mov:"10505"_728974_732563
    CHIuu uu uu uu . %mov:"10505"_732563_735678
    FAT*FAT: buun@o (to) yuuten [: itteru] no . %mov:"10505"_735678_737253
    FATsugoi naa . %mov:"10505"_737253_739003
    FATaa, sore to issho ya nee . %mov:"10505"_739003_740595

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_ishii3.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10505.chaJun 1;5.05572223.50

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. buun2 · 100.0%