PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. that's how you make a poodle ? MOT · eng_USA_Brown/sarah109.cha, line 733 · Sarah 4;05
  2. where did ya see a poodle ? GAI · eng_USA_Brown/sarah109.cha, line 740 · Sarah 4;05
  3. who had a poodle ? MOT · eng_USA_Brown/sarah109.cha, line 744 · Sarah 4;05
  4. tell em about the other poodle . MOT · eng_USA_Brown/sarah109.cha, line 752 · Sarah 4;05
  5. <what's> [//] what's the other poodle's name ? MOT · eng_USA_Brown/sarah109.cha, line 754 · Sarah 4;05
  6. doesn't Ann_Marie have a poodle ? MEL · eng_USA_Brown/sarah109.cha, line 786 · Sarah 4;05
  1. eng_USA_Brown/sarah109.cha, line 733 · Sarah, 4;5.14
    CHIsee # dis can be a poodle .
    CHIsee # that's how ya make a poodle .
    MOT*MOT: that's how you make a poodle ?
    CHIyeah .
    CHIthat's how ya make a poodle .
  2. eng_USA_Brown/sarah109.cha, line 740 · Sarah, 4;5.14
    CHIyeah .
    CHIthat's how ya make a poodle .
    GAI*GAI: where did ya see a poodle ?
    CHIlike dis ?
    MOTwho had a poodle ?
  3. eng_USA_Brown/sarah109.cha, line 744 · Sarah, 4;5.14
    GAIwhere did ya see a poodle ?
    CHIlike dis ?
    MOT*MOT: who had a poodle ?
    CHIChips .
    MOTChips .
  4. eng_USA_Brown/sarah109.cha, line 752 · Sarah, 4;5.14
    MOTChips .
    CHIChip .
    MOT*MOT: tell em about the other poodle .
    MOT<what's> [//] what's the other poodle's name ?
    CHIum +...
  5. eng_USA_Brown/sarah109.cha, line 754 · Sarah, 4;5.14
    CHIChip .
    MOTtell em about the other poodle .
    MOT*MOT: <what's> [//] what's the other poodle's name ?
    CHIum +...
    MOTthe one Auntie_Marilyn has .
  6. eng_USA_Brown/sarah109.cha, line 786 · Sarah, 4;5.14
    MOTtiger .
    CHItiger .
    MEL*MEL: doesn't Ann_Marie have a poodle ?
    CHIyes .
    MOTwhat's his name ?

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_Brown4.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.141,363664.40

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. poodle6 · 100.0%