PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. how are you ? FAT · eng_USA_Brown/sarah010.cha, line 221 · Sarah 2;04
  2. how are you ? FAT · eng_USA_Brown/sarah010.cha, line 225 · Sarah 2;04
  3. Nana wants to know how you are ? FAT · eng_USA_Brown/sarah010.cha, line 266 · Sarah 2;04
  4. how much money you got there ? FAT · eng_USA_Brown/sarah010.cha, line 711 · Sarah 2;04
  5. how many babies have you got ? FAT · eng_USA_Brown/sarah010.cha, line 948 · Sarah 2;04
  6. how about this horsie # is he cold ? FAT · eng_USA_Brown/sarah010.cha, line 1130 · Sarah 2;04
  7. how you gonna iron your clothes ? FAT · eng_USA_Brown/sarah010.cha, line 1248 · Sarah 2;04
  8. how about a cookie ? MOT · eng_USA_Brown/sarah010.cha, line 1809 · Sarah 2;04
  1. FAThello # Sarah .
    CHI(hel)lo .
    FAT*FAT: how are you ?
    CHIhello .
    FAThow are you ?
  2. FAThow are you ?
    CHIhello .
    FAT*FAT: how are you ?
    CHIyou talk .
    MOTyou talk .
  3. CHICarol .
    FATok .
    FAT*FAT: Nana wants to know how you are ?
    FATare you fine ?
    CHI0 .
  4. CHIxxx .
    CHIhorsie .
    FAT*FAT: how much money you got there ?
    CHItwo .
    CHIxxx .
  5. FATtwo horsies ?
    CHItwo .
    FAT*FAT: how many babies have you got ?
    CHImm two .
    CHImy baby .
  6. FATwhat'd the horsie say ?
    CHIxxx .
    FAT*FAT: how about this horsie # is he cold ?
    CHI0 .
    FATis he hot ?
  7. CHI0 .
    FATyou're not supposed to break your iron .
    FAT*FAT: how you gonna iron your clothes ?
    CHIxxx ?
    CHIxxx ?
  8. CHIxxx .
    MOTfood ?
    MOT*MOT: how about a cookie ?
    CHIcookie ?
    CHIxxx .

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_Brown6.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah010.chaSarah 2;4.191,280886.25

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. how8 · 100.0%