PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 1,986 words searched).

  1. what are those ? MOT · eng_USA_Brown/sarah058.cha, line 271 · Sarah 3;04
  2. we'll have to put those in . MOT · eng_USA_Brown/sarah058.cha, line 1344 · Sarah 3;04
  3. better put those on the list . MOT · eng_USA_Brown/sarah058.cha, line 1351 · Sarah 3;04
  4. well <you can> [/] # <you can> [/] # you can only have one out o(f) those three . MOT · eng_USA_Brown/sarah058.cha, line 1389 · Sarah 3;04
  5. ya can only have one out of those . MOT · eng_USA_Brown/sarah058.cha, line 1425 · Sarah 3;04
  6. ya can only have one out of those three . KEN · eng_USA_Brown/sarah058.cha, line 1430 · Sarah 3;04
  7. we got ta write those down . MOT · eng_USA_Brown/sarah058.cha, line 1486 · Sarah 3;04
  1. MOTSarah .
    CHIxxx .
    MOT*MOT: what are those ?
    CHIcandy+cane +...
    MOTxxx .
  2. CHIyeah .
    MOTyeah .
    MOT*MOT: we'll have to put those in .
    MOTroller+skates # ice+skates .
    MOTyeah .
  3. MOTroller+skates # ice+skates .
    MOTyeah .
    MOT*MOT: better put those on the list .
    CHII know it .
    CHIyou need the pencil right here .
  4. MOTor # um # Bonnie_Bright ?
    CHIBonnie_Bright (a)n(d) Na(n)cy +...
    MOT*MOT: well <you can> [/] # <you can> [/] # you can only have one out o(f) those three .
    MOTwhich one do you like ?
    MOTCandy_Fashion ?
  5. MOThmm ?
    CHIdat .
    MOT*MOT: ya can only have one out of those .
    CHIdat .
    KENya can only have one out of those three .
  6. MOTya can only have one out of those .
    CHIdat .
    KEN*KEN: ya can only have one out of those three .
    CHIdat ?
    MOTCandy_Fashion .
  7. CHIalright .
    MOTyeah .
    MOT*MOT: we got ta write those down .
    MOTwhat else ?
    MOThow about pots and pans ?

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_Brown3.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah058.chaSarah 3;4.161,986773.52

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. those7 · 100.0%