PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.76 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. buy one o(f) dose beds . MOT · eng_USA_Brown/sarah053.cha, line 189 · Sarah 3;03
  3. we have one of those . MOT · eng_USA_Brown/sarah053.cha, line 203 · Sarah 3;03
  4. buy one huh ? MOT · eng_USA_Brown/sarah053.cha, line 462 · Sarah 3;03
  5. every one ? MOT · eng_USA_Brown/sarah053.cha, line 1004 · Sarah 3;03
  6. what d(o) ya want one o(f) those for ? MOT · eng_USA_Brown/sarah053.cha, line 1052 · Sarah 3;03
  7. you had one of these when you were a baby huh ? MOT · eng_USA_Brown/sarah053.cha, line 1587 · 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. CHIwhoop .
    CHIo:h # ge(t) one o(f) dose beds .
    MOT*MOT: buy one o(f) dose beds .
    MOTkind o(f) pretty huh ?
    CHIo:h # ge(t) one o(f) dose .
  3. 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 ?
  4. MOTjus(t) +/.
    CHIwe(ll) +/.
    MOT*MOT: buy one huh ?
    MOTyeah that's for magazines .
    CHIget it .
  5. MOTxxx .
    CHII wan(t) all dese sings [: things] # Mommy .
    MOT*MOT: every one ?
    CHII wan(t) Daddy to help me .
    MOTto help ya buy them ?
  6. CHIo:h # I want one o(f) dose .
    MOTyou do ?
    MOT*MOT: what d(o) ya want one o(f) those for ?
    CHIoh # I want one o(f) dose .
    MOTis there anythin(g) ya don't want ?
  7. KENalmost done .
    MOTbe done in a minute .
    MOT*MOT: you had one of these when you were a baby huh ?
    CHIyeah .
    MOTdo ya remember ?

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_Brown5.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah053.chaSarah 3;3.131,215775.76

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. one7 · 100.0%