PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

12.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (91 utterances, 326 words searched).

  1. well # we have two # Zeke . MOT · eng_USA_Bates/zeke28.cha, line 26 · Zeke 2;04
  2. can we stack these ? MOT · eng_USA_Bates/zeke28.cha, line 87 · Zeke 2;04
  3. should we set the ladder up ? MOT · eng_USA_Bates/zeke28.cha, line 202 · Zeke 2;04
  4. what do we have in here ? MOT · eng_USA_Bates/zeke28.cha, line 223 · Zeke 2;04
  1. eng_USA_Bates/zeke28.cha, line 26 · Zeke, 2;4.
    MOThmm ?
    CHIdoggy can # dog +...
    MOT*MOT: well # we have two # Zeke .
    MOTlook at that .
    MOT<wha(t)> [/] what is that ?
  2. eng_USA_Bates/zeke28.cha, line 87 · Zeke, 2;4.
    MOThmm ?
    CHIlike Daddy .
    MOT*MOT: can we stack these ?
    MOTand make a tower ?
    MOTwan(t) (t)a make a tower ?
  3. eng_USA_Bates/zeke28.cha, line 202 · Zeke, 2;4.
    MOTthe ladder ?
    CHIyyy .
    MOT*MOT: should we set the ladder up ?
    MOTset the ladder up .
    CHI0 .
  4. eng_USA_Bates/zeke28.cha, line 223 · Zeke, 2;4.
    CHIgo up ladder ?
    MOToh # I don't think she'll fit in there # honey .
    MOT*MOT: what do we have in here ?
    CHIthe lady bye+bye .
    CHIsee go store .

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. Zeke eng_USA_Bates12.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/zeke28.chaZeke 2;4.3264412.27

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. we4 · 100.0%