PHPCLANCHILDES with regular expressions

7 matches in 5 utterances

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

  1. turn it around # no that's not it # look at the next # there you are # no # ooh here we are # this one # there look at it … GRA · bilingual_eng_Deuchar/880114eg.cha, line 352 · M 2;06
  2. that's right ### which next ### uh ? GRA · bilingual_eng_Deuchar/880114eg.cha, line 383 · M 2;06
  3. yes # now [/] now what next . GRA · bilingual_eng_Deuchar/880114eg.cha, line 409 · M 2;06
  4. +, one # next one says two # the next one says three # and the next one says four . GRA · bilingual_eng_Deuchar/880114eg.cha, line 645 · M 2;06
  5. +, one # next one says two # the next one says three # and the next one says four . GRA · bilingual_eng_Deuchar/880114eg.cha, line 645 · M 2;06
  6. +, one # next one says two # the next one says three # and the next one says four . GRA · bilingual_eng_Deuchar/880114eg.cha, line 645 · M 2;06
  7. …are the fifties they go together # that's all right now let's get the next lot # you get these the tens # ooh ! GRA · bilingual_eng_Deuchar/880114eg.cha, line 786 · M 2;06
  1. GRA0.
    CHIno # here .
    GRA*GRA: turn it around # no that's not it # look at the next # there you are # no # ooh here we are # this one # there look at it this one .
    CHImmm .
    CHInice puzzle .
  2. GRAno the other side isn't it # this pussy cat here .
    CHI0.
    GRA*GRA: that's right ### which next ### uh ?
    GRAturn it over .
    CHIdoggie .
  3. GRAmmm .
    CHIpussy cats .
    GRA*GRA: yes # now [/] now what next .
    CHIyyy .
    GRAooh that's good you've done that one quickly haven't you ?
  4. CHI0.
    CHI0.
    GRA*GRA: +, one # next one says two # the next one says three # and the next one says four .
    CHI0.
    GRAone two three four .
  5. GRAit's popped out again has it # just a minute look these are all have you seen these ones ?
    GRAthese are all alike as well aren't they ?
    GRA*GRA: you 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 ?
    GRAhere 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 ?

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_Deuchar3.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/880114eg.chaM 2;6.211,935573.62

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. next7 · 100.0%