PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

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

  1. has Chantilly been playing rough with you Millisandy ? KEN · eng_USA_Brown/sarah058.cha, line 591 · Sarah 3;04
  2. the one with the red nose . KEN · eng_USA_Brown/sarah058.cha, line 950 · Sarah 3;04
  3. that's the one with <all the> [/] # all the doll's clothes . MOT · eng_USA_Brown/sarah058.cha, line 1438 · Sarah 3;04
  4. (a)n(d) Nancy_Nurse is the one with the crib . MOT · eng_USA_Brown/sarah058.cha, line 1441 · Sarah 3;04
  5. to go with your stove ? MOT · eng_USA_Brown/sarah058.cha, line 1492 · Sarah 3;04
  6. a mink stole <with a> [//] # with the &b # earrings (a)n(d) everything +... MOT · eng_USA_Brown/sarah058.cha, line 1536 · Sarah 3;04
  7. a mink stole <with a> [//] # with the &b # earrings (a)n(d) everything +... MOT · eng_USA_Brown/sarah058.cha, line 1536 · Sarah 3;04
  1. MOTshe wants to play too .
    MOTc(o)me (h)ere .
    KEN*KEN: has Chantilly been playing rough with you Millisandy ?
    MOTstay # sit .
    MOTnow stay .
  2. KENwhat's the name of the reindeer on the front of the book ?
    CHIRick .
    KEN*KEN: the one with the red nose .
    CHIxxx .
    KENmmhm .
  3. CHIdat ?
    MOTCandy_Fashion .
    MOT*MOT: that's the one with <all the> [/] # all the doll's clothes .
    MOT(a)n(d) Nancy_Nurse is the one with the crib .
    MOT(a)n(d) +...
  4. MOTCandy_Fashion .
    MOTthat's the one with <all the> [/] # all the doll's clothes .
    MOT*MOT: (a)n(d) Nancy_Nurse is the one with the crib .
    MOT(a)n(d) +...
    MOT<the nurse> [//] # the little baby .
  5. MOTwhat else ?
    MOThow about pots and pans ?
    MOT*MOT: to go with your stove ?
    CHIyeah !
    MOThmm ?
  6. CHIyeah .
    MOTyou would a mink ?
    MOT*MOT: a mink stole <with a> [//] # with the &b # earrings (a)n(d) everything +...
    MOToh # (a)n(d) a jewelry box .
    CHIa(l)right !

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;4.161,986673.52

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. with7 · 100.0%