PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (218 utterances, 1,935 words searched).

  1. …ng it upside down # that's better # I've got my sleepers here my feet aren't wet # I'm treading xxx your carpet . GRA · bilingual_eng_Deuchar/880114eg.cha, line 173 · M 2;06
  2. there look # there like that # aah aren't they sweet ! GRA · bilingual_eng_Deuchar/880114eg.cha, line 389 · M 2;06
  3. yes sweet pussies aren't they ? GRA · bilingual_eng_Deuchar/880114eg.cha, line 394 · M 2;06
  4. these are all alike as well aren't they ? GRA · bilingual_eng_Deuchar/880114eg.cha, line 785 · M 2;06
  5. …e this # get them all the same # can you see M those are all the same aren't they ? GRA · bilingual_eng_Deuchar/880114eg.cha, line 790 · M 2;06
  1. MOTyes [<] we always do it onto the picture .
    GRAyou do # yes # right now # see whether we can find the right things .
    GRA*GRA: Granny perhaps ought to come # oh it isn't doing it upside down # that's better # I've got my sleepers here my feet aren't wet # I'm treading xxx your carpet .
    GRAlook there we are M # look # it goes there doesn't it ?
    CHIuh .
  2. GRAturn it over .
    CHIdoggie .
    GRA*GRA: there look # there like that # aah aren't they sweet !
    CHIbecause they are sweet are pussy cats .
    GRAyes sweet pussies aren't they ?
  3. GRAthere look # there like that # aah aren't they sweet !
    CHIbecause they are sweet are pussy cats .
    GRA*GRA: yes sweet pussies aren't they ?
    CHIsweet pussies .
    GRAyes # do you <like pussies> [>] ?
  4. GRAoooh !
    GRAit's popped out again has it # just a minute look these are all have you seen these ones ?
    GRA*GRA: these are all alike as well aren't they ?
    GRAyou see # those are the fifties they go together # that's all right now let's get the next lot # you get these the tens # ooh !
    GRAwhat's that one that looks like a [//] that one comes from Italy # that's a real one from Italy # now # xxx those ones isn't it ?
  5. GRAyou see # those are the fifties they go together # that's all right now let's get the next lot # you get these the tens # ooh !
    GRAwhat's that one that looks like a [//] that one comes from Italy # that's a real one from Italy # now # xxx those ones isn't it ?
    GRA*GRA: here we are then # leave them all like this # get them all the same # can you see M those are all the same aren't they ?
    GRAcan you put those in ?
    CHI0.

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. M bilingual_eng_Deuchar2.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/880114eg.chaM 2;6.211,935552.58

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. aren't5 · 100.0%