PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (280 utterances, 1,032 words searched).

  1. I did very well xxx . MOT · eng_USA_Brown/sarah076.cha, line 563 · Sarah 3;09
  2. thank+you very much . MOT · eng_USA_Brown/sarah076.cha, line 593 · Sarah 3;09
  3. thank+you very much . KEN · eng_USA_Brown/sarah076.cha, line 595 · Sarah 3;09
  4. very good . MOT · eng_USA_Brown/sarah076.cha, line 828 · Sarah 3;09
  5. you aren't very good with your chair either . MOT · eng_USA_Brown/sarah076.cha, line 890 · Sarah 3;09
  1. MOTyou'll wear it .
    MOThow (a)bout that .
    MOT*MOT: I did very well xxx .
    CHIthat's choc(ol)ate .
    CHIchoc(ol)ate .
  2. CHIit's hot .
    CHImy milk .
    MOT*MOT: thank+you very much .
    KENthank+you very much .
    KENI xxx wake up finally .
  3. CHImy milk .
    MOTthank+you very much .
    KEN*KEN: thank+you very much .
    KENI xxx wake up finally .
    MOTI don't think I'll ever come to .
  4. MOTdown # that's it .
    MOTnow go across .
    MOT*MOT: very good .
    MOTthat's pretty good .
    MOTshow it to Kent .
  5. MOTthat's the way you make a chair .
    MOTsit up right .
    MOT*MOT: you aren't very good with your chair either .
    CHIno .
    MOThow (a)bout that ?

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_Brown4.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah076.chaSarah 3;9.031,032554.84

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. very5 · 100.0%