PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

7.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (88 utterances, 427 words searched).

  1. that goes on there # yeah . MOT · eng_USA_Bates/nan28.cha, line 478 · Nan 2;04
  2. should I take the yellow one off or you want to put that on top ? MOT · eng_USA_Bates/nan28.cha, line 546 · Nan 2;04
  3. oh # you can put that on top if you want . MOT · eng_USA_Bates/nan28.cha, line 552 · Nan 2;04
  1. eng_USA_Bates/nan28.cha, line 478 · Nan, 2;4.
    MOToh # why don't you try ?
    CHIthis come .
    MOT*MOT: that goes on there # yeah .
    CHIxxx .
    MOTtwo yellow ones # huh ?
  2. eng_USA_Bates/nan28.cha, line 546 · Nan, 2;4.
    MOTput him in there ?
    CHIyeah .
    MOT*MOT: should I take the yellow one off or you want to put that on top ?
    MOToh # you can put that on top if you want .
    CHIno .
  3. eng_USA_Bates/nan28.cha, line 552 · Nan, 2;4.
    CHIyeah .
    MOTshould I take the yellow one off or you want to put that on top ?
    MOT*MOT: oh # you can put that on top if you want .
    CHIno .
    MOTno ?

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. Nan eng_USA_Bates7.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/nan28.chaNan 2;4.427337.03

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. on3 · 100.0%