PHPCLANCHILDES with regular expressions

9 matches in 6 utterances

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

  1. the other day you told me his name was Dawson . MOT · eng_USA_Brown/sarah028.cha, line 274 · Sarah 2;09
  2. tell me # what's the matter . MOT · eng_USA_Brown/sarah028.cha, line 402 · Sarah 2;09
  3. want me to go get it ? MOT · eng_USA_Brown/sarah028.cha, line 416 · Sarah 2;09
  4. you gonna read me a story ? MOT · eng_USA_Brown/sarah028.cha, line 462 · 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 want me> [//] you don't <want me> [/] want me to pinch you ? MOT · eng_USA_Brown/sarah028.cha, line 1095 · Sarah 2;09
  7. <you want me> [//] you don't <want me> [/] want me to pinch you ? MOT · eng_USA_Brown/sarah028.cha, line 1095 · Sarah 2;09
  8. gi(ve) me gi(ve) me . MOT · eng_USA_Brown/sarah028.cha, line 1139 · Sarah 2;09
  9. gi(ve) me gi(ve) me . MOT · eng_USA_Brown/sarah028.cha, line 1139 · Sarah 2;09
  1. CHII (do)n('t) know .
    MOTyou don't know !
    MOT*MOT: the other day you told me his name was Dawson .
    CHIDawson ?
    MOTyeah .
  2. CHIno .
    MOTI think we have a problem .
    MOT*MOT: tell me # what's the matter .
    CHIbig book .
    MOTyour big book ?
  3. MOTwhyn't [: why don't] you go get it ?
    CHIno .
    MOT*MOT: want me to go get it ?
    CHI0 .
    MOThmm ?
  4. MOToh # that's an elephant # yeah .
    CHIxxx read story you .
    MOT*MOT: you gonna read me a story ?
    CHIhere monkey .
    CHI<here <monk(ey)> [/] monkey> [>] +...
  5. 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 .
  6. MOTno .
    CHIgi(ve) me gi(ve) me .
    MOT*MOT: gi(ve) me gi(ve) me .
    CHIgi(ve) me gi(ve) me .
    CHIyou do me .

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_Brown7.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149697.83

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. me9 · 100.0%