PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 1,572 words searched).

  1. well # let's look and see if we can find . GLO · eng_USA_Brown/sarah056.cha, line 606 · Sarah 3;04
  2. well it's hard # isn't it ? GLO · eng_USA_Brown/sarah056.cha, line 675 · Sarah 3;04
  3. well # you can have that . MOT · eng_USA_Brown/sarah056.cha, line 1311 · Sarah 3;04
  4. well # we had to give it away . MOT · eng_USA_Brown/sarah056.cha, line 1353 · Sarah 3;04
  5. well # ya got too big . MOT · eng_USA_Brown/sarah056.cha, line 1361 · Sarah 3;04
  1. CHIright there .
    GLOwhich one # honey ?
    GLO*GLO: well # let's look and see if we can find .
    MOTput that down .
    GLOxxx .
  2. GLOand can you put the e@l on the f@l ?
    CHIhmm # can('t) do it .
    GLO*GLO: well it's hard # isn't it ?
    CHIyou [/] you do it ?
    GLOcan I do it ?
  3. MOTwhat ?
    CHIthis .
    MOT*MOT: well # you can have that .
    CHIoh .
    MOTok ?
  4. CHIdid you thwow [: throw] it away ?
    MOThmm .
    MOT*MOT: well # we had to give it away .
    MOTyou [//] you sort a outgrew it .
    CHIwhy ?
  5. CHIwhy ?
    CHIwhy # Mommy ?
    MOT*MOT: well # ya got too big .
    CHIo:h .
    CHII goin(g) ge(t) Campbell [?] .

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_Brown3.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah056.chaSarah 3;4.011,572553.18

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. well5 · 100.0%