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. …ed a recitation of one two three four five once I caught a fish alive which she seems to know all the words of . MOT · bilingual_eng_Deuchar/880114eg.cha, line 93 · M 2;06
  2. now which picture shall we do M ? GRA · bilingual_eng_Deuchar/880114eg.cha, line 141 · M 2;06
  3. that's right ### which next ### uh ? GRA · bilingual_eng_Deuchar/880114eg.cha, line 383 · M 2;06
  4. now which way # you find it # good now only two more and you can put those in I… GRA · bilingual_eng_Deuchar/880114eg.cha, line 484 · M 2;06
  5. …ll twenties # these ones now # these are called two [//] twos ### now which <these ones> [/] # these ones these are called fives # and these are … GRA · bilingual_eng_Deuchar/880114eg.cha, line 795 · M 2;06
  1. CHIyyy .
    CHIwhy did you let it go xxx finger so # what finger did he bite # this little finger on my right .
    MOT*MOT: very good [=! laughs] you just missed a rec [>] [//] you just missed a recitation of one two three four five once I caught a fish alive which she seems to know all the words of .
    CHIokay [<] .
    GRAmmm !
  2. GRAyes [<] # are we in focus in xxx [>] the right spot ?
    MOT<yes I'll just check> [<] .
    GRA*GRA: now which picture shall we do M ?
    CHImmm ?
    GRAthey're quite difficult because [>] +/.
  3. GRAno the other side isn't it # this pussy cat here .
    CHI0.
    GRA*GRA: that's right ### which next ### uh ?
    GRAturn it over .
    CHIdoggie .
  4. CHI0.
    GRAoooh !
    GRA*GRA: now which way # you find it # good now only two more and you can put those in I expect very easily .
    CHI0.
    GRAmmhmm .
  5. GRAcan you put those in ?
    CHI0.
    GRA*GRA: xx [=! laughs] those are what we call twenties # these ones now # these are called two [//] twos ### now which <these ones> [/] # these ones these are called fives # and these are called # you know what these are called # these are called ones # you know # oh look !
    GRAthere's another one # you know what this one is ?
    GRAoh !

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. which5 · 100.0%