PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

8.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (87 utterances, 339 words searched).

  1. what should we play with # then ? MOT · eng_USA_Bates/jim28.cha, line 10 · Jim 2;04
  2. well # yeah # put them down then . MOT · eng_USA_Bates/jim28.cha, line 37 · Jim 2;04
  3. then we'll put him back . MOT · eng_USA_Bates/jim28.cha, line 124 · Jim 2;04
  1. eng_USA_Bates/jim28.cha, line 10 · Jim, 2;4.
    MOThey what are these ?
    MOT*MOT: what should we play with # then ?
    CHI0 .
    MOTtake them all apart ?
  2. eng_USA_Bates/jim28.cha, line 37 · Jim, 2;4.
    MOTthere +...
    CHIxxx .
    MOT*MOT: well # yeah # put them down then .
    MOTwhat are you going to do with all these ?
    MOTwhat are these ?
  3. eng_USA_Bates/jim28.cha, line 124 · Jim, 2;4.
    CHIno .
    MOTno ?
    MOT*MOT: then we'll put him back .
    CHIhe can stay here .
    MOThe can stay there ?

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. Jim eng_USA_Bates8.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/jim28.chaJim 2;4.339338.85

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. then3 · 100.0%