PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,466 words searched).

  1. what do you do up there # Sarah ? GAI · eng_USA_Brown/sarah097.cha, line 436 · Sarah 4;02
  2. she's asked you what you do up there . ANN · eng_USA_Brown/sarah097.cha, line 444 · Sarah 4;02
  3. leave that there # that's Nana's . MOT · eng_USA_Brown/sarah097.cha, line 518 · Sarah 4;02
  4. your carrot is in there # here # huh ? GAI · eng_USA_Brown/sarah097.cha, line 996 · Sarah 4;02
  5. there's no arms . MOT · eng_USA_Brown/sarah097.cha, line 1007 · Sarah 4;02
  6. you put your hand on there and le(t) me trace yours . ANN · eng_USA_Brown/sarah097.cha, line 1114 · Sarah 4;02
  1. eng_USA_Brown/sarah097.cha, line 436 · Sarah, 4;2.23
    CHIyeah .
    MELyou like your Nana .
    GAI*GAI: what do you do up there # Sarah ?
    MOTSarah !
    MOTSarah !
  2. eng_USA_Brown/sarah097.cha, line 444 · Sarah, 4;2.23
    MOTSarah !
    CHI0 [=! laughs] .
    ANN*ANN: she's asked you what you do up there .
    CHII'm gonna play baby house .
    GAImmhm # how do you do that ?
  3. eng_USA_Brown/sarah097.cha, line 518 · Sarah, 4;2.23
    ANNwhere you goin(g) ?
    MELwhat are you lookin(g) for ?
    MOT*MOT: leave that there # that's Nana's .
    MOTwhat're you gonna do ?
    MOTxxx .
  4. eng_USA_Brown/sarah097.cha, line 996 · Sarah, 4;2.23
    GAIwhat's (th)e matter # Sarah ?
    CHImy carrot is in there .
    GAI*GAI: your carrot is in there # here # huh ?
    MOTthat does look like a carrot .
    CHIhere's a carrot .
  5. eng_USA_Brown/sarah097.cha, line 1007 · Sarah, 4;2.23
    CHIhere's a carrot .
    GAIif this is a head # and this is a body # where do the arms go ?
    MOT*MOT: there's no arms .
    MOThow you make it ?
    GAIwhere do you put the arms ?
  6. eng_USA_Brown/sarah097.cha, line 1114 · Sarah, 4;2.23
    CHIyou can use Melissa's .
    GAIok .
    ANN*ANN: you put your hand on there and le(t) me trace yours .
    ANNshe made six fingers .
    MOTthat's not right .

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/sarah097.chaSarah 4;2.231,466664.09

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. there6 · 100.0%