PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 1,796 words searched).

  1. and then what happens ? MOT · eng_USA_Brown/sarah132.cha, line 794 · Sarah 4;11
  2. then the dog chases the cat # huh ? MOT · eng_USA_Brown/sarah132.cha, line 796 · Sarah 4;11
  3. he spits at the dog and then of course naturally the dog's gonna chase him . MOT · eng_USA_Brown/sarah132.cha, line 832 · Sarah 4;11
  4. then the cat'll get up an(d) the poor dog'll just be layin(g) there . MOT · eng_USA_Brown/sarah132.cha, line 844 · Sarah 4;11
  5. you oughta [: ought to] save that skin (be)cause then if you get a cut # you can put it right on . FAT · eng_USA_Brown/sarah132.cha, line 1433 · Sarah 4;11
  1. eng_USA_Brown/sarah132.cha, line 794 · Sarah, 4;11.19
    MOTthat's what the cat does # huh ?
    CHIyeah .
    MOT*MOT: and then what happens ?
    MOTthen the dog chases the cat # huh ?
    CHI0 .
  2. eng_USA_Brown/sarah132.cha, line 796 · Sarah, 4;11.19
    CHIyeah .
    MOTand then what happens ?
    MOT*MOT: then the dog chases the cat # huh ?
    CHI0 .
    FATbut who starts it # Sarah ?
  3. eng_USA_Brown/sarah132.cha, line 832 · Sarah, 4;11.19
    MOTI'd like to guzzle him .
    CHIwant gun ?
    MOT*MOT: he spits at the dog and then of course naturally the dog's gonna chase him .
    MOTmy father says # +"/.
    MOT+" that dog is chasin(g) that cat again .
  4. eng_USA_Brown/sarah132.cha, line 844 · Sarah, 4;11.19
    MOT+" that dog is chasin(g) that cat again .
    MOTbut the cat is supposed to be only playin(g) .
    MOT*MOT: then the cat'll get up an(d) the poor dog'll just be layin(g) there .
    MOTthe cat'll get up on the chair .
    MOTthe dog'll be under the chair .
  5. eng_USA_Brown/sarah132.cha, line 1433 · Sarah, 4;11.19
    FATwhat'd you do with the skin ?
    FATdid you save it ?
    FAT*FAT: you oughta [: ought to] save that skin (be)cause then if you get a cut # you can put it right on .
    MELwhat happens to it ?
    MELwhere does it go ?

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_Brown2.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah132.chaSarah 4;11.191,796552.78

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. then5 · 100.0%