PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (381 utterances, 1,406 words searched).

  1. you must've had a ball over the weekend . MOT · eng_USA_Brown/sarah080.cha, line 38 · Sarah 3;10
  2. you just had it . MOT · eng_USA_Brown/sarah080.cha, line 73 · Sarah 3;10
  3. think she never had one before . MOT · eng_USA_Brown/sarah080.cha, line 284 · Sarah 3;10
  4. should've had one yesterday for her eye . MOT · eng_USA_Brown/sarah080.cha, line 397 · Sarah 3;10
  5. she never had one . MOT · eng_USA_Brown/sarah080.cha, line 1255 · Sarah 3;10
  6. I never had one . MOT · eng_USA_Brown/sarah080.cha, line 1257 · Sarah 3;10
  1. eng_USA_Brown/sarah080.cha, line 38 · Sarah, 3;10.01
    CHImine .
    MOTgot all kinds of bites (a)n(d) black (a)n(d) blue marks .
    MOT*MOT: you must've had a ball over the weekend .
    CHIno # Mommy .
    MOTwonder where your father is .
  2. eng_USA_Brown/sarah080.cha, line 73 · Sarah, 3;10.01
    MOTxxx .
    CHIwhere's my glove ?
    MOT*MOT: you just had it .
    CHIdid you hid it ?
    MOTSarah # it must be right here .
  3. eng_USA_Brown/sarah080.cha, line 284 · Sarah, 3;10.01
    CHII get an apple .
    CHII get an apple .
    MOT*MOT: think she never had one before .
    CHII got an apple .
    CHIxxx # huh ?
  4. eng_USA_Brown/sarah080.cha, line 397 · Sarah, 3;10.01
    FATan apple a day keeps the doctor away .
    FATdid you know that ?
    MOT*MOT: should've had one yesterday for her eye .
    FATtell Kent the big word +/.
    MOTawful blue lookin(g) .
  5. eng_USA_Brown/sarah080.cha, line 1255 · Sarah, 3;10.01
    MOTshe must xxx gone in there before they come out .
    MOTI don't know .
    MOT*MOT: she never had one .
    MOTI never had one .
    MOTdid you ever have one ?
  6. eng_USA_Brown/sarah080.cha, line 1257 · Sarah, 3;10.01
    MOTI don't know .
    MOTshe never had one .
    MOT*MOT: I never had one .
    MOTdid you ever have one ?
    MOTask Pat .

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_Brown4.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah080.chaSarah 3;10.011,406664.27

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. had6 · 100.0%