PHPCLANCHILDES with regular expressions

7 matches in 5 utterances

6.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

  1. want me to go get it ? MOT · eng_USA_Brown/sarah028.cha, line 416 · Sarah 2;09
  2. I don't want you to write on that . MOT · eng_USA_Brown/sarah028.cha, line 781 · Sarah 2;09
  3. <you want me> [//] you don't <want me> [/] want me to pinch you ? MOT · eng_USA_Brown/sarah028.cha, line 1095 · Sarah 2;09
  4. <you want me> [//] you don't <want me> [/] want me to pinch you ? MOT · eng_USA_Brown/sarah028.cha, line 1095 · Sarah 2;09
  5. <you want me> [//] you don't <want me> [/] want me to pinch you ? MOT · eng_USA_Brown/sarah028.cha, line 1095 · Sarah 2;09
  6. you sure you want more ? GLO · eng_USA_Brown/sarah028.cha, line 1433 · Sarah 2;09
  7. you want more ice+cream ? GLO · eng_USA_Brown/sarah028.cha, line 1452 · Sarah 2;09
  1. eng_USA_Brown/sarah028.cha, line 416 · Sarah, 2;9.06
    MOTwhyn't [: why don't] you go get it ?
    CHIno .
    MOT*MOT: want me to go get it ?
    CHI0 .
    MOThmm ?
  2. eng_USA_Brown/sarah028.cha, line 781 · Sarah, 2;9.06
    CHImake k@l here .
    MOT<no # no # no # no # no> [/] # no .
    MOT*MOT: I don't want you to write on that .
    MOTthat's your microphone .
    MOT<you don't> [//] we only write on pen [//] on paper .
  3. eng_USA_Brown/sarah028.cha, line 1095 · Sarah, 2;9.06
    CHIpinch you .
    CHIno pinch me .
    MOT*MOT: <you want me> [//] you don't <want me> [/] want me to pinch you ?
    CHIpinch you ah !
    CHIxxx # a pinch you xxx .
  4. eng_USA_Brown/sarah028.cha, line 1433 · Sarah, 2;9.06
    CHII want more .
    CHII want more .
    GLO*GLO: you sure you want more ?
    GLOwhyn't [: why don't] you wait and have some for after supper # save some for later ?
    CHIno .
  5. eng_USA_Brown/sarah028.cha, line 1452 · Sarah, 2;9.06
    GLOdrink of tonic ?
    CHI0 .
    GLO*GLO: you want more ice+cream ?
    GLOwait one minute # alright ?
    CHIone more .

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. Sarah eng_USA_Brown6.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149576.09

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. want7 · 100.0%