PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

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

  1. can you write on top of it like this ? GAI · eng_USA_Brown/sarah104.cha, line 254 · Sarah 4;04
  2. can you count them ? MEL · eng_USA_Brown/sarah104.cha, line 319 · Sarah 4;04
  3. can't you take a hint ? GAI · eng_USA_Brown/sarah104.cha, line 457 · Sarah 4;04
  4. you can make a better d@l this way # can't you ? GAI · eng_USA_Brown/sarah104.cha, line 753 · Sarah 4;04
  5. you can make a better d@l this way # can't you ? GAI · eng_USA_Brown/sarah104.cha, line 753 · Sarah 4;04
  6. I can see right through your belly . FAT · eng_USA_Brown/sarah104.cha, line 955 · Sarah 4;04
  7. I can't . FAT · eng_USA_Brown/sarah104.cha, line 1336 · Sarah 4;04
  1. eng_USA_Brown/sarah104.cha, line 254 · Sarah, 4;4.11
    FATwhat ?
    GAII write it very light .
    GAI*GAI: can you write on top of it like this ?
    GAIright on top ?
    CHIok .
  2. eng_USA_Brown/sarah104.cha, line 319 · Sarah, 4;4.11
    CHIwhat [//] how many toes I have ?
    MELhow many do you think you have ?
    MEL*MEL: can you count them ?
    CHIone # two # three # four # that's all I have .
    MELfour toes .
  3. eng_USA_Brown/sarah104.cha, line 457 · Sarah, 4;4.11
    MELwhat ?
    CHIy@l .
    GAI*GAI: can't you take a hint ?
    MELI'm a little dense .
    CHIwhat is this letter ?
  4. 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 .
  5. eng_USA_Brown/sarah104.cha, line 955 · Sarah, 4;4.11
    CHIit sticks to ya .
    FATuh # <it's a> [//] uh # le(t) me see # magic .
    FAT*FAT: I can see right through your belly .
    CHIwhat ?
    FATle(t) me see .
  6. eng_USA_Brown/sarah104.cha, line 1336 · Sarah, 4;4.11
    CHIbring that back .
    CHIbring that back .
    FAT*FAT: I can't .
    CHIwhy ?
    MOTxxx (it)'ll get mad .

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_Brown5.70
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah104.chaSarah 4;4.111,227675.70

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. can7 · 100.0%