PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (305 utterances, 1,227 words searched).

  1. no # it'd be a crooked l@l . FAT · eng_USA_Brown/sarah104.cha, line 572 · Sarah 4;04
  2. does it look like a d@l to you ? GAI · eng_USA_Brown/sarah104.cha, line 749 · Sarah 4;04
  3. you can make a better d@l this way # can't you ? GAI · eng_USA_Brown/sarah104.cha, line 753 · Sarah 4;04
  4. that's d@l . GAI · eng_USA_Brown/sarah104.cha, line 762 · Sarah 4;04
  5. because I told her on payday I'd buy her a toy # y(ou) know . MOT · eng_USA_Brown/sarah104.cha, line 1070 · Sarah 4;04
  1. eng_USA_Brown/sarah104.cha, line 572 · Sarah, 4;4.11
    CHIoh .
    CHInow # could I xxx l@l ?
    FAT*FAT: no # it'd be a crooked l@l .
    CHIso ?
    CHIthat won't make no differen(ce) .
  2. eng_USA_Brown/sarah104.cha, line 749 · Sarah, 4;4.11
    CHII don't know how to make a d@l # do I ?
    CHIdat a d@l ?
    GAI*GAI: does it look like a d@l to you ?
    CHIis it ?
    GAIyou can make a better d@l this way # can't you ?
  3. eng_USA_Brown/sarah104.cha, line 753 · Sarah, 4;4.11
    GAIdoes it look like a d@l to you ?
    CHIis it ?
    GAI*GAI: you can make a better d@l this way # can't you ?
    CHIthat +...
    GAIright # without the extra lines .
  4. eng_USA_Brown/sarah104.cha, line 762 · Sarah, 4;4.11
    CHIthat +...
    GAIright # without the extra lines .
    GAI*GAI: that's d@l .
    CHIalright .
    CHIwhat is that ?
  5. eng_USA_Brown/sarah104.cha, line 1070 · Sarah, 4;4.11
    FATwhat ?
    MOTdid I tell ya what she said to me this mornin(g) ?
    MOT*MOT: because I told her on payday I'd buy her a toy # y(ou) know .
    MOTso she said to me this mornin(g) # is today payday # is today payday ?
    MOTpayday she's gonna buy a toy .

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_Brown4.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah104.chaSarah 4;4.111,227554.07

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. d5 · 100.0%