PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (348 utterances, 1,551 words searched).

  1. well Millisandy # would you like to go to the movies with me ? KEN · eng_USA_Brown/sarah052.cha, line 337 · Sarah 3;03
  2. well bounce it easy . MOT · eng_USA_Brown/sarah052.cha, line 563 · Sarah 3;03
  3. well # almost . MOT · eng_USA_Brown/sarah052.cha, line 567 · Sarah 3;03
  4. well you can . MOT · eng_USA_Brown/sarah052.cha, line 832 · Sarah 3;03
  5. xxx well wait when [/] when [//] we'll wait when Jo_ann comes home . MOT · eng_USA_Brown/sarah052.cha, line 1068 · Sarah 3;03
  6. well # maybe I should put you in there so ya could take a nap . MOT · eng_USA_Brown/sarah052.cha, line 1266 · Sarah 3;03
  1. eng_USA_Brown/sarah052.cha, line 337 · Sarah, 3;3.07
    CHIxxx you watch Timmy .
    CHIyou watch xxx .
    KEN*KEN: well Millisandy # would you like to go to the movies with me ?
    CHIyeah .
    KENwhat movie would you like to see ?
  2. eng_USA_Brown/sarah052.cha, line 563 · Sarah, 3;3.07
    CHIxxx hey # hey I didn't catch it .
    CHIbounce .
    MOT*MOT: well bounce it easy .
    MOTthen you can catch it ya know .
    MOTwell # almost .
  3. eng_USA_Brown/sarah052.cha, line 567 · Sarah, 3;3.07
    MOTwell bounce it easy .
    MOTthen you can catch it ya know .
    MOT*MOT: well # almost .
    CHII goin(g) bounce it .
    CHIwhe(r)e you at .
  4. eng_USA_Brown/sarah052.cha, line 832 · Sarah, 3;3.07
    CHII am .
    CHII'm tryin(g) to get # a bike in here .
    MOT*MOT: well you can .
    MOT(a)n(d) you can do it fast too .
    MOTcan't cha ?
  5. eng_USA_Brown/sarah052.cha, line 1068 · Sarah, 3;3.07
    MOTok ?
    CHII wanna go wi(th) her .
    MOT*MOT: xxx well wait when [/] when [//] we'll wait when Jo_ann comes home .
    MOTthen you can go .
    MOTok ?
  6. eng_USA_Brown/sarah052.cha, line 1266 · Sarah, 3;3.07
    MOTare ya still tired ?
    CHIno .
    MOT*MOT: well # maybe I should put you in there so ya could take a nap .
    CHIxxx .
    MOTno ?

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_Brown3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah052.chaSarah 3;3.071,551663.87

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. well6 · 100.0%