PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,236 words searched).

  1. my name +... MOT · eng_USA_Brown/sarah020.cha, line 18 · Sarah 2;07
  2. with my fame . MOT · eng_USA_Brown/sarah020.cha, line 39 · Sarah 2;07
  3. my name is Sarah Barnes and all the world . MOT · eng_USA_Brown/sarah020.cha, line 87 · Sarah 2;07
  4. with my fame . MOT · eng_USA_Brown/sarah020.cha, line 105 · Sarah 2;07
  5. with my fame . MOT · eng_USA_Brown/sarah020.cha, line 112 · Sarah 2;07
  6. what're you doin(g) with my boots ? MOT · eng_USA_Brown/sarah020.cha, line 669 · Sarah 2;07
  7. what did you do # have my boots on ? MOT · eng_USA_Brown/sarah020.cha, line 675 · Sarah 2;07
  1. CHIxxx .
    MOTno .
    MOT*MOT: my name +...
    CHImy name .
    MOTis Sarah .
  2. MOTrings .
    CHIrings .
    MOT*MOT: with my fame .
    CHImm my fame .
    MOTI sing .
  3. MOTdo it pretty .
    CHIname xxx .
    MOT*MOT: my name is Sarah Barnes and all the world .
    CHIall world .
    MOTrings .
  4. MOTrings .
    CHIrings .
    MOT*MOT: with my fame .
    CHImy fame .
    MOToh # you can't jump .
  5. CHImy fame .
    MOToh # you can't jump .
    MOT*MOT: with my fame .
    CHImy fame .
    MOTyeah # that's it .
  6. CHImouse .
    CHImouse .
    MOT*MOT: what're you doin(g) with my boots ?
    MOThuh ?
    MOTwhat did you do # have my boots on ?
  7. MOTwhat're you doin(g) with my boots ?
    MOThuh ?
    MOT*MOT: what did you do # have my boots on ?
    JOAgive the other one too .
    JOAgive the other one to Mummy .

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_Brown5.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236775.66

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. my7 · 100.0%