PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.27 per 1,000 words of the child (CHI), in 1 of 1 transcripts (881 utterances, 2,201 words searched).

  1. terebi no geemu . %mov:"20920"_872557_874484 CHI · japanese_ishii/20920.cha, line 482 · Jun 2;09
  2. terebi [/-] yuubinkyoku no basu . %mov:"20920"_875981_879929 CHI · japanese_ishii/20920.cha, line 485 · Jun 2;09
  3. kore wa # terebi no ge +... %mov:"20920"_888161_890713 CHI · japanese_ishii/20920.cha, line 493 · Jun 2;09
  4. terebi no basu . %mov:"20920"_891360_892879 CHI · japanese_ishii/20920.cha, line 495 · Jun 2;09
  5. terebi miyo ka ? %mov:"20920"_3708935_3714224 CHI · japanese_ishii/20920.cha, line 1883 · Jun 2;09
  1. CHIko xxx wa [>] ? %mov:"20920"_870746_872557
    FATkore wa nan da,, kore wa [<] . %mov:"20920"_870746_872557
    CHI*CHI: terebi no geemu . %mov:"20920"_872557_874484
    FATsoo ya . %mov:"20920"_874484_874994
    FATterebi no jidoosha ya . %mov:"20920"_874994_875981
  2. FATsoo ya . %mov:"20920"_874484_874994
    FATterebi no jidoosha ya . %mov:"20920"_874994_875981
    CHI*CHI: terebi [/-] yuubinkyoku no basu . %mov:"20920"_875981_879929
    FATsoo ya . %mov:"20920"_879929_880420
    FATyuubinkyoku no basu . %mov:"20920"_880420_880959
  3. CHIuma . %mov:"20920"_886597_887599
    FATuma . %mov:"20920"_887599_888161
    CHI*CHI: kore wa # terebi no ge +... %mov:"20920"_888161_890713
    FATterebi no +... %mov:"20920"_890713_891360
    CHIterebi no basu . %mov:"20920"_891360_892879
  4. CHIkore wa # terebi no ge +... %mov:"20920"_888161_890713
    FATterebi no +... %mov:"20920"_890713_891360
    CHI*CHI: terebi no basu . %mov:"20920"_891360_892879
    FATsoo ya . %mov:"20920"_892879_893416
    FATterebibasu ya naa . %mov:"20920"_893416_894457
  5. CHIJunkun ga +... %mov:"20920"_3705876_3707082
    FATJunkun wa puchin@o dekinai . %mov:"20920"_3707082_3708935
    CHI*CHI: terebi miyo ka ? %mov:"20920"_3708935_3714224
    FATe ? %mov:"20920"_3714224_3715152
    CHIkore . %mov:"20920"_3715152_3716859

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_ishii2.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20920.chaJun 2;9.202,201552.27

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. terebi5 · 100.0%