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. baan@o to ochiru wa, hore . %mov:"20525"_805148_807525 FAT · japanese_ishii/20525.cha, line 410 · Jun 2;05
  2. hore, hashiranai wa . %mov:"20525"_1003879_1003879 FAT · japanese_ishii/20525.cha, line 494 · Jun 2;05
  1. FATn, kore wa akan wa [<] . %mov:"20525"_799881_803875
    FATkore wa omotai kara ne . %mov:"20525"_803875_805148
    FAT*FAT: baan@o to ochiru wa, hore . %mov:"20525"_805148_807525
    CHIkore wa ? %mov:"20525"_807525_810574
    FATsore wa doo ka na ? %mov:"20525"_810574_812109
  2. CHIpaiyaashu wa nai wa . %mov:"20525"_1000065_1002509
    CHIhore . %mov:"20525"_1002509_1003879
    FAT*FAT: hore, hashiranai wa . %mov:"20525"_1003879_1003879
    CHIpiidon@o . %mov:"20525"_1005388_1006669
    CHIjidoosha hashiru kara # taiya aru kedo ne . %mov:"20525"_1006669_1017532

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. hore2 · 100.0%