PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,363 words searched).

  1. let's see if it writes your name . MEL · eng_USA_Brown/sarah109.cha, line 175 · Sarah 4;05
  2. <what's> [//] what's the other poodle's name ? MOT · eng_USA_Brown/sarah109.cha, line 754 · Sarah 4;05
  3. what's his name ? MOT · eng_USA_Brown/sarah109.cha, line 760 · Sarah 4;05
  4. what's his name ? MOT · eng_USA_Brown/sarah109.cha, line 764 · Sarah 4;05
  5. he's frisky yeah # but what's his name ? MOT · eng_USA_Brown/sarah109.cha, line 768 · Sarah 4;05
  6. what's his name ? MOT · eng_USA_Brown/sarah109.cha, line 790 · Sarah 4;05
  7. what's Ann_Marie's dog's name ? MOT · eng_USA_Brown/sarah109.cha, line 792 · Sarah 4;05
  8. is that your name # Swifty ? MOT · eng_USA_Brown/sarah109.cha, line 822 · Sarah 4;05
  1. CHIyou really need a pen ?
    MELI really need a pen .
    MEL*MEL: let's see if it writes your name .
    MELhere # let's write it here .
    CHIyou can't write it good .
  2. CHIChip .
    MOTtell em about the other poodle .
    MOT*MOT: <what's> [//] what's the other poodle's name ?
    CHIum +...
    MOTthe one Auntie_Marilyn has .
  3. CHIum +...
    MOTthe one Auntie_Marilyn has .
    MOT*MOT: what's his name ?
    CHIuh # other poodle .
    MOTwhat's his name ?
  4. MOTwhat's his name ?
    CHIuh # other poodle .
    MOT*MOT: what's his name ?
    CHIhe's frisky but uh +...
    MOThe's frisky yeah # but what's his name ?
  5. MOTwhat's his name ?
    CHIhe's frisky but uh +...
    MOT*MOT: he's frisky yeah # but what's his name ?
    MOTwhat does Uncle_Tony call him ?
    CHIlion ?
  6. MELdoesn't Ann_Marie have a poodle ?
    CHIyes .
    MOT*MOT: what's his name ?
    MOTwhat's Ann_Marie's dog's name ?
    CHIhow you make feet ?
  7. CHIyes .
    MOTwhat's his name ?
    MOT*MOT: what's Ann_Marie's dog's name ?
    CHIhow you make feet ?
    MELPierre .
  8. MOTSwifty .
    CHIyeah .
    MOT*MOT: is that your name # Swifty ?
    CHIno .
    MOTno .

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_Brown5.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.141,363885.87

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. name8 · 100.0%