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. a chair ? MOT · eng_USA_Brown/sarah076.cha, line 881 · Sarah 3;09
  2. that's the way you make a chair . MOT · eng_USA_Brown/sarah076.cha, line 885 · Sarah 3;09
  3. you aren't very good with your chair either . MOT · eng_USA_Brown/sarah076.cha, line 890 · Sarah 3;09
  4. well I think it's a pretty good looking chair . MOT · eng_USA_Brown/sarah076.cha, line 1033 · Sarah 3;09
  5. you can't make a chair ? MOT · eng_USA_Brown/sarah076.cha, line 1062 · Sarah 3;09
  1. MOTwhat's that ?
    CHIthat's goin(g) to make a chair .
    MOT*MOT: a chair ?
    CHIyeah .
    MOTthat's the way you make a chair .
  2. MOTa chair ?
    CHIyeah .
    MOT*MOT: that's the way you make a chair .
    MOTsit up right .
    MOTyou aren't very good with your chair either .
  3. 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 ?
  4. MOTwell ?
    CHIthat's not # good looking chair .
    MOT*MOT: well I think it's a pretty good looking chair .
    CHIwell I don't .
    MOTwell that's just your opinion .
  5. CHIlook like can't do this .
    CHII can't do it .
    MOT*MOT: you can't make a chair ?
    CHIno .
    MOTsee ?

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. chair5 · 100.0%