PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

2.32 per 1,000 words of the child (CHI), in 1 of 1 transcripts (963 utterances, 2,159 words searched).

  1. hai . %mov:"20614"_27298_28107 CHI · japanese_ishii/20614.cha, line 30 · Jun 2;06
  2. hai . %mov:"20614"_80986_81563 CHI · japanese_ishii/20614.cha, line 63 · Jun 2;06
  3. hai . %mov:"20614"_254031_255253 CHI · japanese_ishii/20614.cha, line 183 · Jun 2;06
  4. hai # hai . %mov:"20614"_2533178_2534605 CHI · japanese_ishii/20614.cha, line 1364 · Jun 2;06
  5. hai # hai . %mov:"20614"_2533178_2534605 CHI · japanese_ishii/20614.cha, line 1364 · Jun 2;06
  1. CHIkore ka outon ? %mov:"20614"_23829_25882
    FATun, mottekite ,, ofuton . %mov:"20614"_25882_27298
    CHI*CHI: hai . %mov:"20614"_27298_28107
    FAThai, thank you . %mov:"20614"_28107_28107
    CHIsakyuu . %mov:"20614"_29906_31066
  2. CHIkore ka ? %mov:"20614"_78873_79771
    FATun, Otoosan mo hoshii . %mov:"20614"_79771_80986
    CHI*CHI: hai . %mov:"20614"_80986_81563
    FAThai, arigatoo . %mov:"20614"_81563_82772
    CHIkore mo # kore Jun na ? %mov:"20614"_82772_85784
  3. FATosuna jaa@o tto sun no . %mov:"20614"_252110_253196
    FATchotto matte ya . %mov:"20614"_253196_254031
    CHI*CHI: hai . %mov:"20614"_254031_255253
    CHIosuna ? %mov:"20614"_255253_256149
    CHIxxx yoo . %mov:"20614"_256149_260676
  4. CHIa, koko da [<] . %mov:"20614"_2528589_2532106
    FATtorenai . %mov:"20614"_2532106_2533178
    CHI*CHI: hai # hai . %mov:"20614"_2533178_2534605
    FAThai, arigatoo . %mov:"20614"_2534605_2536205
    CHImoo nai yo . %mov:"20614"_2536205_2537332

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_ishii2.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20614.chaJun 2;6.142,159452.32

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. hai5 · 100.0%