PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 814 words searched).

  1. a, sore nan da . %mov:"20113"_29291_29291 FAT · japanese_ishii/20113.cha, line 32 · Jun 2;01
  2. naan da,, kore wa . %mov:"20113"_406391_407647 FAT · japanese_ishii/20113.cha, line 276 · Jun 2;01
  1. japanese_ishii/20113.cha, line 32 · Jun, 2;1.13
    CHIita xxx [>] . %mov:"20113"_27122_29291
    FATdono gohon miru [<] ? %mov:"20113"_27122_29291
    FAT*FAT: a, sore nan da . %mov:"20113"_29291_29291
    CHIe ? %mov:"20113"_32372_33554
    CHIwa # wa wa ! %mov:"20113"_33554_35765
  2. japanese_ishii/20113.cha, line 276 · Jun, 2;1.13
    FATeeneen@o yuu ? %mov:"20113"_403112_405096
    CHIyattaa . %mov:"20113"_405096_406391
    FAT*FAT: naan da,, kore wa . %mov:"20113"_406391_407647
    CHIxxx # waa ! %mov:"20113"_407647_409397
    FATookii ofune ya ne . %mov:"20113"_409397_411610

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_ishii2.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20113.chaJun 2;1.13814222.46

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. da2 · 100.0%