PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (680 utterances, 2,443 words searched).

  1. see # this is his ears . MOT · eng_USA_Brown/sarah062.cha, line 1325 · Sarah 3;05
  2. where's his eyes ? MOT · eng_USA_Brown/sarah062.cha, line 1396 · Sarah 3;05
  3. put his eyes in . FAT · eng_USA_Brown/sarah062.cha, line 1398 · Sarah 3;05
  4. where's his eyes ? MOT · eng_USA_Brown/sarah062.cha, line 1411 · Sarah 3;05
  5. I thought this was going to be his feet when he started . MOT · eng_USA_Brown/sarah062.cha, line 1967 · Sarah 3;05
  6. he knows his nursery rhymes so well . MOT · eng_USA_Brown/sarah062.cha, line 2113 · Sarah 3;05
  7. his little [//] little Red_Riding_Hood going into Bo_Beep . MOT · eng_USA_Brown/sarah062.cha, line 2115 · Sarah 3;05
  1. CHIput a li(tt)l(e) on top .
    CHIyeah # yeow@b .
    MOT*MOT: see # this is his ears .
    CHIyeah .
    MOToh # we'll put a couple of eyes in (be)cause they're not going to fade away .
  2. MOTis that Kent ?
    CHIum .
    MOT*MOT: where's his eyes ?
    FATput his eyes in .
    MOTya got the wrong end of the pencil .
  3. CHIum .
    MOTwhere's his eyes ?
    FAT*FAT: put his eyes in .
    MOTya got the wrong end of the pencil .
    CHI0 .
  4. MOTwhat's that ?
    CHIKent .
    MOT*MOT: where's his eyes ?
    CHIright here .
    MOToh .
  5. MOTwhat're ya going to draw ?
    MOTthat's pretty good .
    MOT*MOT: I thought this was going to be his feet when he started .
    CHIum .
    MOTyou do very well .
  6. FAThe was an egg .
    FATwasn't he ?
    MOT*MOT: he knows his nursery rhymes so well .
    MOThis little [//] little Red_Riding_Hood going into Bo_Beep .
    FAT(a)n(d) Humpty_Dumpty he fell off the wall (a)n(d) he look like this .
  7. FATwasn't he ?
    MOThe knows his nursery rhymes so well .
    MOT*MOT: his little [//] little Red_Riding_Hood going into Bo_Beep .
    FAT(a)n(d) Humpty_Dumpty he fell off the wall (a)n(d) he look like this .
    CHI<he be> [//] he # uh # should .

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_Brown2.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah062.chaSarah 3;5.132,443772.87

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. his7 · 100.0%