PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,422 words searched).

  1. we just brought it from the beach . MOT · eng_USA_Brown/sarah045.cha, line 126 · Sarah 3;01
  2. when we went down t(o) the square . MOT · eng_USA_Brown/sarah045.cha, line 215 · Sarah 3;01
  3. in the five and ten # what did we buy ? MOT · eng_USA_Brown/sarah045.cha, line 219 · Sarah 3;01
  4. we're friends . MOT · eng_USA_Brown/sarah045.cha, line 497 · Sarah 3;01
  5. oh that's nice # I'm glad we're friends . MOT · eng_USA_Brown/sarah045.cha, line 499 · Sarah 3;01
  6. oh # we forgot . MOT · eng_USA_Brown/sarah045.cha, line 1025 · Sarah 3;01
  1. eng_USA_Brown/sarah045.cha, line 126 · Sarah, 3;1.17
    CHI<I wan(t)> [/] # I want my doll blanket .
    MOTyou got your other one +...
    MOT*MOT: we just brought it from the beach .
    CHII want two of dem ri(ght) here .
    MOTyeah # you'll have two a them right here +...
  2. eng_USA_Brown/sarah045.cha, line 215 · Sarah, 3;1.17
    CHIhere .
    MOTno # what did I buy you yesterday ?
    MOT*MOT: when we went down t(o) the square .
    CHIah .
    MOTin the five and ten # what did we buy ?
  3. eng_USA_Brown/sarah045.cha, line 219 · Sarah, 3;1.17
    MOTwhen we went down t(o) the square .
    CHIah .
    MOT*MOT: in the five and ten # what did we buy ?
    CHIcrayons .
    MOT<wha(t) tha(t)> [//] # <wha(t)> [/] wha(t)'d I buy ?
  4. eng_USA_Brown/sarah045.cha, line 497 · Sarah, 3;1.17
    CHIoh .
    CHIwe friends .
    MOT*MOT: we're friends .
    MOToh that's nice # I'm glad we're friends .
    CHIthank+you .
  5. eng_USA_Brown/sarah045.cha, line 499 · Sarah, 3;1.17
    CHIwe friends .
    MOTwe're friends .
    MOT*MOT: oh that's nice # I'm glad we're friends .
    CHIthank+you .
    CHIthank+you # (h)elpin(g) .
  6. eng_USA_Brown/sarah045.cha, line 1025 · Sarah, 3;1.17
    MOTdid cha ?
    MOTxxx call this green ?
    MOT*MOT: oh # we forgot .
    MOThere's green .
    MOTthat's green .

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_Brown4.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah045.chaSarah 3;1.171,422664.22

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. we6 · 100.0%