PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,280 words searched).

  1. do you talk into that mike ? FAT · eng_USA_Brown/sarah010.cha, line 401 · Sarah 2;04
  2. help you do what ? MOT · eng_USA_Brown/sarah010.cha, line 807 · Sarah 2;04
  3. do you chew them ? MOT · eng_USA_Brown/sarah010.cha, line 1355 · Sarah 2;04
  4. do it nice . MOT · eng_USA_Brown/sarah010.cha, line 1592 · Sarah 2;04
  5. yeah # I know it's hard # but you can do it . MOT · eng_USA_Brown/sarah010.cha, line 1677 · Sarah 2;04
  6. what do you want ? MOT · eng_USA_Brown/sarah010.cha, line 1782 · Sarah 2;04
  7. show me now # what do you want ? MOT · eng_USA_Brown/sarah010.cha, line 1889 · Sarah 2;04
  1. eng_USA_Brown/sarah010.cha, line 401 · Sarah, 2;4.19
    MOTyour mike # yeah .
    FATthat's your mike ?
    FAT*FAT: do you talk into that mike ?
    CHIyou mike .
    FATthis is my mike .
  2. eng_USA_Brown/sarah010.cha, line 807 · Sarah, 2;4.19
    CHIxxx .
    CHIhelp me .
    MOT*MOT: help you do what ?
    CHIxxx .
    CHIhere ball .
  3. eng_USA_Brown/sarah010.cha, line 1355 · Sarah, 2;4.19
    CHIvi(tami)n .
    CHIxxx pill xxx .
    MOT*MOT: do you chew them ?
    MOTsay +"/.
    MOT+" I chew em .
  4. eng_USA_Brown/sarah010.cha, line 1592 · Sarah, 2;4.19
    MOTok .
    CHIxxx .
    MOT*MOT: do it nice .
    CHIhuh ?
    MOTyou can make it pretty .
  5. eng_USA_Brown/sarah010.cha, line 1677 · Sarah, 2;4.19
    MOTyeah .
    CHII wan(t) [=? hard] two ri(bbo)n head .
    MOT*MOT: yeah # I know it's hard # but you can do it .
    CHIo:h .
    MOTxxx .
  6. eng_USA_Brown/sarah010.cha, line 1782 · Sarah, 2;4.19
    CHIxxx .
    MOTdog food # yeah .
    MOT*MOT: what do you want ?
    CHIpig .
    MOThuh ?
  7. eng_USA_Brown/sarah010.cha, line 1889 · Sarah, 2;4.19
    MOTshow me .
    CHIxxx .
    MOT*MOT: show me now # what do you want ?
    CHIdip .
    MOTwhat ?

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_Brown5.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah010.chaSarah 2;4.191,280775.47

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. do7 · 100.0%