PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

8.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (246 utterances, 977 words searched).

  1. you big now ? MOT · eng_USA_Brown/sarah041.cha, line 497 · Sarah 3;00
  2. now the other one . MOT · eng_USA_Brown/sarah041.cha, line 519 · Sarah 3;00
  3. no # you leave it on now . MOT · eng_USA_Brown/sarah041.cha, line 615 · Sarah 3;00
  4. wait a minute now . COU · eng_USA_Brown/sarah041.cha, line 706 · Sarah 3;00
  5. oh # you can't put a costume on now . MOT · eng_USA_Brown/sarah041.cha, line 840 · Sarah 3;00
  6. come in there now (be)cause Courtney's in there . MOT · eng_USA_Brown/sarah041.cha, line 855 · Sarah 3;00
  7. now # if I can find em . MOT · eng_USA_Brown/sarah041.cha, line 893 · Sarah 3;00
  8. don't spill it on yourself now . MOT · eng_USA_Brown/sarah041.cha, line 1133 · Sarah 3;00
  1. CHIyeah .
    CHII got big now .
    MOT*MOT: you big now ?
    CHIyeah .
    CHII big .
  2. MOTI thought it would be too big for you .
    CHIxxx door .
    MOT*MOT: now the other one .
    CHIwhoops .
    CHIwhat other one ?
  3. MOTdon't you want a go to the square and buy something nice ?
    CHItake dis off .
    MOT*MOT: no # you leave it on now .
    CHIno .
    COUin a few minutes # we'll take this off .
  4. CHII got two dems .
    COUalright .
    COU*COU: wait a minute now .
    CHIxxx .
    COUxxx ballet ?
  5. CHIwhee and whee .
    CHII got get [?] my costume .
    MOT*MOT: oh # you can't put a costume on now .
    CHIxxx .
    MOTno # you have to wait .
  6. MOTthat's just a pair of overalls .
    CHIoh .
    MOT*MOT: come in there now (be)cause Courtney's in there .
    MOTI'll comb your hair .
    MOTwant to comb your hair ?
  7. MOTno # I brought this one home .
    MOTI didn't bring the white one home .
    MOT*MOT: now # if I can find em .
    CHIwhere scissors ?
    MOTyeah # don't worry about it .
  8. MOTdon't get excited .
    CHIwant duck .
    MOT*MOT: don't spill it on yourself now .
    CHIno .
    MOTwhat's the matter ?

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_Brown8.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah041.chaSarah 3;0.18977888.19

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. now8 · 100.0%