PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (318 utterances, 1,477 words searched).

  1. and remember all the fish he ate ? FAT · eng_USA_Brown/sarah094.cha, line 104 · Sarah 4;02
  2. remember all the fish the seal ate ? FAT · eng_USA_Brown/sarah094.cha, line 109 · Sarah 4;02
  3. she colored it all summer . FAT · eng_USA_Brown/sarah094.cha, line 195 · Sarah 4;02
  4. yeah # Easter time is all over . MOT · eng_USA_Brown/sarah094.cha, line 436 · Sarah 4;02
  5. we used to buy one for Arthur all the time . MOT · eng_USA_Brown/sarah094.cha, line 485 · Sarah 4;02
  6. they were pickin(g) all the flowers . MOT · eng_USA_Brown/sarah094.cha, line 547 · Sarah 4;02
  7. you gonna cut all this out ? MOT · eng_USA_Brown/sarah094.cha, line 1161 · Sarah 4;02
  1. FATand what +...
    CHI(a)n(d) a +...
    FAT*FAT: and remember all the fish he ate ?
    CHIhuh ?
    FATremember all the fish the seal ate ?
  2. FATand remember all the fish he ate ?
    CHIhuh ?
    FAT*FAT: remember all the fish the seal ate ?
    MOThow many fish was it ?
    FATtwenty six I think it might have been .
  3. MOTon the other book # did you color a boat ?
    FATno # I didn't .
    FAT*FAT: she colored it all summer .
    CHIMommy .
    MOTwhat's that ?
  4. CHIit's all over .
    CHInow # no now .
    MOT*MOT: yeah # Easter time is all over .
    MOTnext is <Thank(sgiving)> [//] # Halloween .
    CHIhuh ?
  5. CHIMommy # I caught a grasshopper before .
    CHIhe ate leaves .
    MOT*MOT: we used to buy one for Arthur all the time .
    CHIhe ate a leaf .
    MOTwe had more fun with Arthur .
  6. GAIflowers too .
    CHInew flowers .
    MOT*MOT: they were pickin(g) all the flowers .
    CHIand grasshopper .
    MOTwhat was it Laurie had in a can ?
  7. CHII'm gonna write something # in [?] two [?] .
    CHII'm gonna cut all this out .
    MOT*MOT: you gonna cut all this out ?
    CHIall my abcs out .
    CHII know how to write # do I ?

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/sarah094.chaSarah 4;2.011,477774.74

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. all7 · 100.0%