PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. did she fall down ? KEN · eng_USA_Brown/sarah052.cha, line 370 · Sarah 3;03
  2. did she fall down ? MOT · eng_USA_Brown/sarah052.cha, line 377 · Sarah 3;03
  3. Millisandy said she wanted to jump down and see you . KEN · eng_USA_Brown/sarah052.cha, line 435 · Sarah 3;03
  4. he had to go all the way down to Rhode Island . MOT · eng_USA_Brown/sarah052.cha, line 489 · Sarah 3;03
  5. she said that down there # in Central Square once . MOT · eng_USA_Brown/sarah052.cha, line 549 · Sarah 3;03
  6. (a)n(d) Donna can go down to the store and buy popsicles . MOT · eng_USA_Brown/sarah052.cha, line 1061 · Sarah 3;03
  7. that's # looking down at a fat Mexican . KEN · eng_USA_Brown/sarah052.cha, line 1277 · Sarah 3;03
  1. MOT(a)n(d) you won't have no Millisandy .
    KENo:h # what happened to Millisandy ?
    KEN*KEN: did she fall down ?
    MOTshe has to get stitches .
    MOTwhat happened to Millisandy ?
  2. MOTshe has to get stitches .
    MOTwhat happened to Millisandy ?
    MOT*MOT: did she fall down ?
    CHInope .
    KENdid you unstitch her ?
  3. KENoh she's not .
    CHIaah .
    KEN*KEN: Millisandy said she wanted to jump down and see you .
    CHIahchoo@o .
    CHIoh # you jump on me .
  4. MOThe had to go away today .
    CHII wan(t) +...
    MOT*MOT: he had to go all the way down to Rhode Island .
    CHIno # he not .
    MOTyes he is .
  5. MOTI think it's out there .
    CHIcome ou(t) # some out where ever you are .
    MOT*MOT: she said that down there # in Central Square once .
    MOTcome out # come out # Mama where ever you are .
    MOTthe whole store was in stitches .
  6. MOTwould you like that ?
    MOThmm ?
    MOT*MOT: (a)n(d) Donna can go down to the store and buy popsicles .
    MOTok ?
    CHII wanna go wi(th) her .
  7. MOTno ?
    CHIwhat's that ?
    KEN*KEN: that's # looking down at a fat Mexican .
    CHIxxx .
    MOTya think that's funny ?

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_Brown4.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah052.chaSarah 3;3.071,551774.51

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.

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