PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 985 words searched).

  1. well # come on . MOT · eng_USA_Brown/sarah038.cha, line 264 · Sarah 2;11
  2. well # you better look . MOT · eng_USA_Brown/sarah038.cha, line 464 · Sarah 2;11
  3. well # put the cup in the saucer ? MOT · eng_USA_Brown/sarah038.cha, line 596 · Sarah 2;11
  4. well # what've you got ? MOT · eng_USA_Brown/sarah038.cha, line 707 · Sarah 2;11
  5. well # you don't have any toys . MOT · eng_USA_Brown/sarah038.cha, line 979 · Sarah 2;11
  1. MOTno # not in that tub # in the little little yellow tub in your room .
    CHI0 .
    MOT*MOT: well # come on .
    MOTbring them out here and make me a cake .
    CHIok .
  2. MOTwhere'd you put it ?
    CHII don('t) know .
    MOT*MOT: well # you better look .
    CHII can't find it .
    MOTlook hard .
  3. CHIsaucer .
    MOTthat's a saucer # yeah .
    MOT*MOT: well # put the cup in the saucer ?
    CHIno .
    MOToh .
  4. CHIMummy # you want eat ?
    MOTdo I want to eat ?
    MOT*MOT: well # what've you got ?
    CHImilk .
    MOToh # just milk ?
  5. CHItoys .
    MOToh .
    MOT*MOT: well # you don't have any toys .
    CHIyes .
    CHII get my toys .

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_Brown5.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah038.chaSarah 2;11.23985555.08

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%