PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,280 words searched).

  1. what's your horsie's name ? FAT · eng_USA_Brown/sarah010.cha, line 349 · Sarah 2;04
  2. what's his name ? FAT · eng_USA_Brown/sarah010.cha, line 353 · Sarah 2;04
  3. what's this horsie's name ? FAT · eng_USA_Brown/sarah010.cha, line 359 · Sarah 2;04
  4. what's your dog's name ? FAT · eng_USA_Brown/sarah010.cha, line 410 · Sarah 2;04
  5. what's your doggie's name ? FAT · eng_USA_Brown/sarah010.cha, line 1018 · Sarah 2;04
  6. what's your name ? FAT · eng_USA_Brown/sarah010.cha, line 1442 · Sarah 2;04
  7. what's your name ? FAT · eng_USA_Brown/sarah010.cha, line 1448 · Sarah 2;04
  1. eng_USA_Brown/sarah010.cha, line 349 · Sarah, 2;4.19
    FATis that your horsie ?
    CHImy horsie .
    FAT*FAT: what's your horsie's name ?
    CHIPoor_Pony .
    FATwhat's his name ?
  2. eng_USA_Brown/sarah010.cha, line 353 · Sarah, 2;4.19
    FATwhat's your horsie's name ?
    CHIPoor_Pony .
    FAT*FAT: what's his name ?
    CHIPoor_Pony .
    FATthat's Poor_Pony .
  3. eng_USA_Brown/sarah010.cha, line 359 · Sarah, 2;4.19
    CHIPoor_Pony .
    FATthat's Poor_Pony .
    FAT*FAT: what's this horsie's name ?
    CHInice horsie .
    CHItwo pony .
  4. eng_USA_Brown/sarah010.cha, line 410 · Sarah, 2;4.19
    FATthis is my mike .
    CHIand my mike .
    FAT*FAT: what's your dog's name ?
    CHIxxx .
    CHIxxx .
  5. eng_USA_Brown/sarah010.cha, line 1018 · Sarah, 2;4.19
    CHImy doggie .
    CHIdat my doggie .
    FAT*FAT: what's your doggie's name ?
    CHIaah .
    FATwhoops !
  6. eng_USA_Brown/sarah010.cha, line 1442 · Sarah, 2;4.19
    FAThello .
    CHIhe(ll)o .
    FAT*FAT: what's your name ?
    CHIxxx .
    FAToh .
  7. eng_USA_Brown/sarah010.cha, line 1448 · Sarah, 2;4.19
    CHIxxx .
    FAToh .
    FAT*FAT: what's your name ?
    FATyou Sarah ?
    FATI'm talkin(g) to you # you know .

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_Brown5.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah010.chaSarah 2;4.191,280775.47

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. name7 · 100.0%