PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (227 utterances, 517 words searched).

  1. are nabuttara [: sawattara] akan [: dame] yo . %mov:"10008"_145134_14777… FAT · japanese_ishii/10008.cha, line 94 · Jun 1;00
  2. are ? %mov:"10008"_400590_402477 FAT · japanese_ishii/10008.cha, line 213 · Jun 1;00
  1. japanese_ishii/10008.cha, line 94 · Jun, 1;0.08
    FATobu ? %mov:"10008"_141849_142457
    FATnani (o) miten [: mite+iru] no . %mov:"10008"_142457_145134
    FAT*FAT: are nabuttara [: sawattara] akan [: dame] yo . %mov:"10008"_145134_147775
    FATnabuttara [: sawattara] itataa yo . %mov:"10008"_147775_147775
    FATachichii itataa yo . %mov:"10008"_149199_151724
  2. japanese_ishii/10008.cha, line 213 · Jun, 1;0.08
    FATbaa . %mov:"10008"_396202_397223
    FATxxx . %mov:"10008"_397223_400590
    FAT*FAT: are ? %mov:"10008"_400590_402477
    FATyooshi . %mov:"10008"_402477_407230
    FATinaiinaiinaiinai . %mov:"10008"_407230_408799

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_ishii3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10008.chaJun 1;0.08517223.87

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. are2 · 100.0%