PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

1.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (714 utterances, 3,222 words searched).

  1. she'll need another one . MOT · eng_USA_Brown/adam19.cha, line 747 · Adam 3;00
  2. no # not another pencil # Adam . MOT · eng_USA_Brown/adam19.cha, line 764 · Adam 3;00
  3. sit up so you may have another card . MOT · eng_USA_Brown/adam19.cha, line 3226 · Adam 3;00
  4. oh # look # there's another one . MOT · eng_USA_Brown/adam19.cha, line 3249 · Adam 3;00
  5. you may take another turn . MOT · eng_USA_Brown/adam19.cha, line 3260 · Adam 3;00
  6. is there another one like that ? MOT · eng_USA_Brown/adam19.cha, line 3279 · Adam 3;00
  1. eng_USA_Brown/adam19.cha, line 747 · Adam, 3;0.11
    CHIshe already have one .
    MOTyes # but suppose something happens to that one .
    MOT*MOT: she'll need another one .
    CHIshe [//] # you have one .
    CHIshe writing .
  2. eng_USA_Brown/adam19.cha, line 764 · Adam, 3;0.11
    CHIshe watching [?] .
    CHII going # open dat .
    MOT*MOT: no # not another pencil # Adam .
    CHId(o) you wan(t) me write on +...
    CHId(o) you wan(t) me write name ?
  3. eng_USA_Brown/adam19.cha, line 3226 · Adam, 3;0.11
    MOTno # I want you to sit up .
    MOTyou're sitting on the others # dear .
    MOT*MOT: sit up so you may have another card .
    CHIle(t) me have another one .
    MOTtake one .
  4. eng_USA_Brown/adam19.cha, line 3249 · Adam, 3;0.11
    CHItwo of them .
    CHItwo of them .
    MOT*MOT: oh # look # there's another one .
    CHItwo of them .
    CHIgood boy .
  5. eng_USA_Brown/adam19.cha, line 3260 · Adam, 3;0.11
    CHIdat (a)nother one .
    MOTalright .
    MOT*MOT: you may take another turn .
    CHIdat one .
    MOTd(o) you have one that looks like that ?
  6. eng_USA_Brown/adam19.cha, line 3279 · Adam, 3;0.11
    MOTyes # that's right .
    CHIdat # good # boy .
    MOT*MOT: is there another one like that ?
    CHIyes # good # boy .
    MOTok # want to come and take some more ?

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. Adam eng_USA_Brown1.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam19.chaAdam 3;0.113,222661.86

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. another6 · 100.0%