PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

8.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,215 words searched).

  1. we have one o(f) those . MOT · eng_USA_Brown/sarah053.cha, line 75 · Sarah 3;03
  2. we're lookin(g) for somethin(g) for Auntie_Marilyn . MOT · eng_USA_Brown/sarah053.cha, line 79 · Sarah 3;03
  3. we're lookin(g) for somethin(g) for Auntie_Marilyn # honey . MOT · eng_USA_Brown/sarah053.cha, line 82 · Sarah 3;03
  4. what did she break when we were up there . MOT · eng_USA_Brown/sarah053.cha, line 120 · Sarah 3;03
  5. we don't want to give her the wrong thing . MOT · eng_USA_Brown/sarah053.cha, line 126 · Sarah 3;03
  6. now what do we see here # hmm ? MOT · eng_USA_Brown/sarah053.cha, line 158 · Sarah 3;03
  7. we have one of those . MOT · eng_USA_Brown/sarah053.cha, line 203 · Sarah 3;03
  8. we have o(f) those . MOT · eng_USA_Brown/sarah053.cha, line 284 · Sarah 3;03
  9. xxx we have the pictures in the parlor . MOT · eng_USA_Brown/sarah053.cha, line 288 · Sarah 3;03
  10. oh # here we are . MOT · eng_USA_Brown/sarah053.cha, line 293 · Sarah 3;03
  1. MOTum .
    CHIo:h # ge(t) one o(f) dose # Mommy .
    MOT*MOT: we have one o(f) those .
    CHI<that # that # that # that # that> [/] # that .
    MOTwe're lookin(g) for somethin(g) for Auntie_Marilyn .
  2. MOTwe have one o(f) those .
    CHI<that # that # that # that # that> [/] # that .
    MOT*MOT: we're lookin(g) for somethin(g) for Auntie_Marilyn .
    MOTwe're lookin(g) for somethin(g) for Auntie_Marilyn # honey .
    CHIo:h # ge(t) one o(f) dose .
  3. CHI<that # that # that # that # that> [/] # that .
    MOTwe're lookin(g) for somethin(g) for Auntie_Marilyn .
    MOT*MOT: we're lookin(g) for somethin(g) for Auntie_Marilyn # honey .
    CHIo:h # ge(t) one o(f) dose .
    CHIMommy # ge(t) one o(f) dose .
  4. MOTnow # let's see .
    MOTAuntie_Marilyn was missin(g) somethin(g) .
    MOT*MOT: what did she break when we were up there .
    MOTwas is the teapot or the coffee pot ?
    MOTwe don't want to give her the wrong thing .
  5. MOTwhat did she break when we were up there .
    MOTwas is the teapot or the coffee pot ?
    MOT*MOT: we don't want to give her the wrong thing .
    MOThuh ?
    CHIlet's see .
  6. MOTmixing bowls .
    CHIhah .
    MOT*MOT: now what do we see here # hmm ?
    CHII don't know .
    MOTthis is kind o(f) rough huh ?
  7. CHIge(t) one o(f) dose # Mommy .
    CHIge(t) one o(f) dose # Mommy .
    MOT*MOT: we have one of those .
    MOTdon't you have a nice blanket on your bed ?
    MOTyou like this ?
  8. MOTfour seasons .
    MOTmmhm ?
    MOT*MOT: we have o(f) those .
    CHIno we don't .
    MOTxxx we have the pictures in the parlor .
  9. MOTwe have o(f) those .
    CHIno we don't .
    MOT*MOT: xxx we have the pictures in the parlor .
    CHIoh # ge(t) one o(f) dose .
    MOToh # here we are .
  10. MOTxxx we have the pictures in the parlor .
    CHIoh # ge(t) one o(f) dose .
    MOT*MOT: oh # here we are .
    MOTdish towels .
    CHIge(t) one o(f) those # Mommy .

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_Brown8.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah053.chaSarah 3;3.131,21510108.23

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. we10 · 100.0%