PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. how many toes ? MEL · eng_USA_Brown/sarah104.cha, line 311 · Sarah 4;04
  2. how many do you think you have ? MEL · eng_USA_Brown/sarah104.cha, line 317 · Sarah 4;04
  3. how many fingers do you have ? MEL · eng_USA_Brown/sarah104.cha, line 326 · Sarah 4;04
  4. how many in one hand ? FAT · eng_USA_Brown/sarah104.cha, line 333 · Sarah 4;04
  5. how is it supposed to go ? MEL · eng_USA_Brown/sarah104.cha, line 472 · Sarah 4;04
  6. <you know how to> [?] blow your nose ? FAT · eng_USA_Brown/sarah104.cha, line 800 · Sarah 4;04
  7. how about makin(g) the dog disappear ? MOT · eng_USA_Brown/sarah104.cha, line 1348 · Sarah 4;04
  1. MELtoes .
    CHIone # two .
    MEL*MEL: how many toes ?
    CHIfive a them .
    CHIwhat [//] how many toes I have ?
  2. CHIfive a them .
    CHIwhat [//] how many toes I have ?
    MEL*MEL: how many do you think you have ?
    MELcan you count them ?
    CHIone # two # three # four # that's all I have .
  3. CHIone # two # three # four # that's all I have .
    MELfour toes .
    MEL*MEL: how many fingers do you have ?
    CHIone # two +...
    CHIten a them # do I ?
  4. CHIone # two +...
    CHIten a them # do I ?
    FAT*FAT: how many in one hand ?
    CHII xxx .
    FATcount then .
  5. MELnow is it a three ?
    CHIno .
    MEL*MEL: how is it supposed to go ?
    CHIit # yyy .
    CHIline down and two [//] two circles .
  6. CHIoh .
    FATyou ought ta blow your nose .
    FAT*FAT: <you know how to> [?] blow your nose ?
    GAIdo you have the sniffles ?
    CHIno .
  7. MOTwho ?
    CHIbring it back .
    MOT*MOT: how about makin(g) the dog disappear ?
    CHIyeah .
    FATwhat happens if he don't come back ?

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;4.111,227775.70

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. how7 · 100.0%