PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,712 words searched).

  1. cut it straight # not that way . MOT · eng_USA_Brown/sarah093.cha, line 266 · Sarah 4;01
  2. it doesn't cut very good . MOT · eng_USA_Brown/sarah093.cha, line 283 · Sarah 4;01
  3. it doesn't cut very good . MOT · eng_USA_Brown/sarah093.cha, line 287 · Sarah 4;01
  4. don't cut your finger . MOT · eng_USA_Brown/sarah093.cha, line 363 · Sarah 4;01
  5. cut a froggie . MEL · eng_USA_Brown/sarah093.cha, line 487 · Sarah 4;01
  6. put it more at the end of your fingers and then you can cut better . MEL · eng_USA_Brown/sarah093.cha, line 874 · Sarah 4;01
  7. see if you can cut better like that . MEL · eng_USA_Brown/sarah093.cha, line 887 · Sarah 4;01
  1. CHIoh # like that ?
    CHIknow how to cut now .
    MOT*MOT: cut it straight # not that way .
    MOTstraight .
    MOTstraight .
  2. MOTwhat's a matter with you ?
    CHImakes noise like that .
    MOT*MOT: it doesn't cut very good .
    CHIhuh ?
    MOTit doesn't cut very good .
  3. MOTit doesn't cut very good .
    CHIhuh ?
    MOT*MOT: it doesn't cut very good .
    CHIcan I cut [/] # cut all the way like that ?
    MOTyou can try first .
  4. MOTtry these .
    MOTanything'd be an improvement .
    MOT*MOT: don't cut your finger .
    CHII cut some of it off .
    CHIsee ?
  5. CHIthe man took him out .
    CHII saw # froggie there now .
    MEL*MEL: cut a froggie .
    CHIa froggie .
    MOTcover your mouth .
  6. MELsee how I hold it ?
    MELyou're doing this and then <you can't> [/] # you can't hardly squeeze it .
    MEL*MEL: put it more at the end of your fingers and then you can cut better .
    CHIlike that ?
    MELyeah # maybe your fingers aren't long enough .
  7. MELyeah # maybe your fingers aren't long enough .
    MELthat's better though # there is better than there .
    MEL*MEL: see if you can cut better like that .
    CHII can cut better like that .
    CHIwatch .

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_Brown4.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah093.chaSarah 4;1.281,712774.09

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. cut7 · 100.0%