PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,262 words searched).

  1. you can even have three # how about that ? GLO · eng_USA_Brown/sarah044.cha, line 218 · Sarah 3;01
  2. what'd cha have to eat today ? GLO · eng_USA_Brown/sarah044.cha, line 314 · Sarah 3;01
  3. what'd cha have ? MOT · eng_USA_Brown/sarah044.cha, line 320 · Sarah 3;01
  4. what'd cha have ? MOT · eng_USA_Brown/sarah044.cha, line 346 · Sarah 3;01
  5. does he have a name ? GLO · eng_USA_Brown/sarah044.cha, line 1004 · Sarah 3;01
  6. you got t(o) have a big mouth to eat all that # in one bite . MOT · eng_USA_Brown/sarah044.cha, line 1217 · Sarah 3;01
  1. eng_USA_Brown/sarah044.cha, line 218 · Sarah, 3;1.10
    MOTthere .
    CHII want two .
    GLO*GLO: you can even have three # how about that ?
    GLOd(o) ya like popsicles ?
    GLOwell # say !
  2. eng_USA_Brown/sarah044.cha, line 314 · Sarah, 3;1.10
    GLOwhat # what did you eat for lunch today ?
    CHIwhat ?
    GLO*GLO: what'd cha have to eat today ?
    CHIuh # um # for breakfast .
    MOTwhat'd cha have ?
  3. eng_USA_Brown/sarah044.cha, line 320 · Sarah, 3;1.10
    GLOwhat'd cha have to eat today ?
    CHIuh # um # for breakfast .
    MOT*MOT: what'd cha have ?
    CHIuh .
    GLOsteak .
  4. eng_USA_Brown/sarah044.cha, line 346 · Sarah, 3;1.10
    CHIcereal .
    GLOcoffee ?
    MOT*MOT: what'd cha have ?
    CHIa seek .
    MOT0 .
  5. eng_USA_Brown/sarah044.cha, line 1004 · Sarah, 3;1.10
    GLOwho's that ?
    CHIa man .
    GLO*GLO: does he have a name ?
    CHIa man .
    GLOhis name is Noah .
  6. eng_USA_Brown/sarah044.cha, line 1217 · Sarah, 3;1.10
    MOTlet go .
    CHIuh .
    MOT*MOT: you got t(o) have a big mouth to eat all that # in one bite .
    CHIxxx .
    GLOoh # what did you do ?

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_Brown4.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah044.chaSarah 3;1.101,262664.75

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. have6 · 100.0%