PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (250 utterances, 1,078 words searched).

  1. now bend it . MEL · eng_USA_Brown/sarah118.cha, line 702 · Sarah 4;07
  2. see # now it stays . MEL · eng_USA_Brown/sarah118.cha, line 710 · Sarah 4;07
  3. yeah now you have the idea . MEL · eng_USA_Brown/sarah118.cha, line 722 · Sarah 4;07
  4. there # that's back now . MEL · eng_USA_Brown/sarah118.cha, line 728 · Sarah 4;07
  5. A_and_P pack their own milk now . MOT · eng_USA_Brown/sarah118.cha, line 933 · Sarah 4;07
  6. how are your fingers now ? GAI · eng_USA_Brown/sarah118.cha, line 1061 · Sarah 4;07
  1. eng_USA_Brown/sarah118.cha, line 702 · Sarah, 4;7.17
    MELyeah # you could do it that say .
    MELbut then you have to +...
    MEL*MEL: now bend it .
    MELbend it down there .
    CHIhey # good !
  2. eng_USA_Brown/sarah118.cha, line 710 · Sarah, 4;7.17
    MELbend it down there .
    CHIhey # good !
    MEL*MEL: see # now it stays .
    CHIhey # that's pretty good thinking .
    CHIwhere'd you learn that lesson ?
  3. eng_USA_Brown/sarah118.cha, line 722 · Sarah, 4;7.17
    MELI don't know .
    MOTthink she's pretty smart # huh ?
    MEL*MEL: yeah now you have the idea .
    MELwhoops .
    MELyou lost it .
  4. eng_USA_Brown/sarah118.cha, line 728 · Sarah, 4;7.17
    MELwhoops .
    MELyou lost it .
    MEL*MEL: there # that's back now .
    CHIyou're pretty good .
    MELyou think I could come to school with you ?
  5. eng_USA_Brown/sarah118.cha, line 933 · Sarah, 4;7.17
    CHIsee it sticky .
    CHII have to make some more glue # before .
    MOT*MOT: A_and_P pack their own milk now .
    GAImmhm .
    MELhmm ?
  6. eng_USA_Brown/sarah118.cha, line 1061 · Sarah, 4;7.17
    MOTxxx .
    CHIoh .
    GAI*GAI: how are your fingers now ?
    CHIgood .
    MOTjust let me wash your hands .

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_Brown5.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah118.chaSarah 4;7.171,078665.57

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. now6 · 100.0%