PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (378 utterances, 1,497 words searched).

  1. how many rakes you got ? FAT · eng_USA_Brown/sarah029.cha, line 706 · Sarah 2;09
  2. they told how much money they were . FAT · eng_USA_Brown/sarah029.cha, line 910 · Sarah 2;09
  3. see # Mummy could see how much money +... FAT · eng_USA_Brown/sarah029.cha, line 912 · Sarah 2;09
  4. how many carriages have you got ? FAT · eng_USA_Brown/sarah029.cha, line 1326 · Sarah 2;09
  5. how many ponies have you got ? FAT · eng_USA_Brown/sarah029.cha, line 1336 · Sarah 2;09
  6. and how many bikes you got ? FAT · eng_USA_Brown/sarah029.cha, line 1342 · Sarah 2;09
  7. and how many babies have you got ? FAT · eng_USA_Brown/sarah029.cha, line 1353 · Sarah 2;09
  1. MOTand a hoe .
    CHIa hoe .
    FAT*FAT: how many rakes you got ?
    CHItwo .
    FATtwo .
  2. FATyou mean the cellophane ?
    FATthe tags were on the clothes .
    FAT*FAT: they told how much money they were .
    FATsee # Mummy could see how much money +...
    FATthey were thirty three cents .
  3. FATthe tags were on the clothes .
    FATthey told how much money they were .
    FAT*FAT: see # Mummy could see how much money +...
    FATthey were thirty three cents .
    CHIum !
  4. CHIxxx carriage .
    FATcarriage ?
    FAT*FAT: how many carriages have you got ?
    CHItwo .
    FATwhere ?
  5. FATone there # one here .
    CHI<one here> [/] # one here .
    FAT*FAT: how many ponies have you got ?
    CHItwo .
    FATyeah .
  6. CHItwo .
    FATyeah .
    FAT*FAT: and how many bikes you got ?
    CHIone .
    FATone bike # xxx .
  7. CHIone # not two .
    CHIone .
    FAT*FAT: and how many babies have you got ?
    CHItwo .
    FATtwo babies ?

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_Brown4.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah029.chaSarah 2;9.141,497774.68

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%