PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

4.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (382 utterances, 1,689 words searched).

  1. how did you think ? MEL · eng_USA_Brown/sarah116.cha, line 129 · Sarah 4;07
  2. <how else> [/] how else could I know you had a cold ? MEL · eng_USA_Brown/sarah116.cha, line 135 · Sarah 4;07
  3. <how else> [/] how else could I know you had a cold ? MEL · eng_USA_Brown/sarah116.cha, line 135 · Sarah 4;07
  4. how did you get this so dirty ? MOT · eng_USA_Brown/sarah116.cha, line 168 · Sarah 4;07
  5. let me see how strong you are # Sarah . MEL · eng_USA_Brown/sarah116.cha, line 419 · Sarah 4;07
  6. oh # how did ya do that ? MOT · eng_USA_Brown/sarah116.cha, line 1063 · Sarah 4;07
  7. how'd you do that ? MOT · eng_USA_Brown/sarah116.cha, line 1075 · Sarah 4;07
  8. how do you do it when you do your toe shoes ? MOT · eng_USA_Brown/sarah116.cha, line 1132 · Sarah 4;07
  1. MELdo you have a cold # Sarah ?
    CHIhow'd you know ?
    MEL*MEL: how did you think ?
    CHI(be)cause I have medicine ?
    MELyeah # partly .
  2. CHI(be)cause I have medicine ?
    MELyeah # partly .
    MEL*MEL: <how else> [/] how else could I know you had a cold ?
    MOThere .
    CHIyou look pretty .
  3. MOTc(o)me (h)ere .
    CHItastes hot .
    MOT*MOT: how did you get this so dirty ?
    MOTyou feel kind o(f) warm .
    CHIyyy .
  4. DONno .
    CHI(be)cause you're not strong # like I am .
    MEL*MEL: let me see how strong you are # Sarah .
    MELmake a muscle .
    CHIbubble ?
  5. CHIhold my feet .
    MOTle(t) me see your # your leotards .
    MOT*MOT: oh # how did ya do that ?
    MOTlook # you got a hole in them .
    CHIwhat I did ?
  6. MOTyou got a hole in it # right there .
    MOTyou got another # little one there .
    MOT*MOT: how'd you do that ?
    CHIthere's no hole .
    MOToh no .
  7. CHIone # two # three # four # five # six # seven # eight # nine # ten . [+ bch]
    MOTwatch it .
    MOT*MOT: how do you do it when you do your toe shoes ?
    CHIlike this .
    CHII can't do it .

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_Brown4.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah116.chaSarah 4;7.1,689784.74

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. how8 · 100.0%