PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.16 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 1,848 words searched).

  1. oh # I know it's Ann_Marie . MEL · eng_USA_Brown/sarah125.cha, line 267 · Sarah 4;09
  2. it's a one . ANN · eng_USA_Brown/sarah125.cha, line 891 · Sarah 4;09
  3. it's too early for an all white dress # huh ? MOT · eng_USA_Brown/sarah125.cha, line 1026 · Sarah 4;09
  4. it shouldn't be but it's awful cold . MOT · eng_USA_Brown/sarah125.cha, line 1031 · Sarah 4;09
  1. MELI can't understand you .
    CHIthis is Ann_Marie .
    MEL*MEL: oh # I know it's Ann_Marie .
    CHIhuh ?
    MELis she your cousin # or is she your friend ?
  2. MOTare you trying to decide what to draw ?
    CHIyep .
    ANN*ANN: it's a one .
    CHIum # two .
    CHIhow you make a two # Ann_Marie ?
  3. CHInow gi(ve) me my pencil .
    CHInow I'm goin(g) make a valentine today .
    MOT*MOT: it's too early for an all white dress # huh ?
    MELit shouldn't be .
    MOTit shouldn't be but it's awful cold .
  4. MOTit's too early for an all white dress # huh ?
    MELit shouldn't be .
    MOT*MOT: it shouldn't be but it's awful cold .
    CHIlike dat ?
    CHIlike dat ?

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_Brown2.16
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah125.chaSarah 4;9.191,848442.16

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. it's4 · 100.0%