PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. with my fame . MOT · eng_USA_Brown/sarah020.cha, line 39 · Sarah 2;07
  2. with my fame . MOT · eng_USA_Brown/sarah020.cha, line 105 · Sarah 2;07
  3. with my fame . MOT · eng_USA_Brown/sarah020.cha, line 112 · Sarah 2;07
  4. what're you doin(g) with my boots ? MOT · eng_USA_Brown/sarah020.cha, line 669 · Sarah 2;07
  1. MOTrings .
    CHIrings .
    MOT*MOT: with my fame .
    CHImm my fame .
    MOTI sing .
  2. MOTrings .
    CHIrings .
    MOT*MOT: with my fame .
    CHImy fame .
    MOToh # you can't jump .
  3. CHImy fame .
    MOToh # you can't jump .
    MOT*MOT: with my fame .
    CHImy fame .
    MOTyeah # that's it .
  4. CHImouse .
    CHImouse .
    MOT*MOT: what're you doin(g) with my boots ?
    MOThuh ?
    MOTwhat did you do # have my boots on ?

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_Brown3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236443.24

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. with4 · 100.0%