PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

28.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (68 utterances, 250 words searched).

  1. these are yours ? MOT · eng_USA_Bates/linda28.cha, line 33 · Linda 2;04
  2. and these are mine # huh ? MOT · eng_USA_Bates/linda28.cha, line 39 · Linda 2;04
  3. these are mine too ? MOT · eng_USA_Bates/linda28.cha, line 48 · Linda 2;04
  4. these are mine ? MOT · eng_USA_Bates/linda28.cha, line 55 · Linda 2;04
  5. what [/] what are you going to do now ? MOT · eng_USA_Bates/linda28.cha, line 145 · Linda 2;04
  6. what are we supposed to do with them ? MOT · eng_USA_Bates/linda28.cha, line 209 · Linda 2;04
  7. are they going to let him in ? MOT · eng_USA_Bates/linda28.cha, line 394 · Linda 2;04
  1. eng_USA_Bates/linda28.cha, line 33 · Linda, 2;4.
    CHIyeah .
    CHIhere # these # are yours .
    MOT*MOT: these are yours ?
    CHIthese are mine .
    MOTand these are mine # huh ?
  2. eng_USA_Bates/linda28.cha, line 39 · Linda, 2;4.
    MOTthese are yours ?
    CHIthese are mine .
    MOT*MOT: and these are mine # huh ?
    MOTok .
    CHImine too .
  3. eng_USA_Bates/linda28.cha, line 48 · Linda, 2;4.
    MOTok .
    CHImine too .
    MOT*MOT: these are mine too ?
    CHIthese are mine .
    MOTthese are mine ?
  4. eng_USA_Bates/linda28.cha, line 55 · Linda, 2;4.
    MOTthese are mine too ?
    CHIthese are mine .
    MOT*MOT: these are mine ?
    CHIthese are mine too .
    MOTok .
  5. eng_USA_Bates/linda28.cha, line 145 · Linda, 2;4.
    CHIwhat ?
    CHIwhat ?
    MOT*MOT: what [/] what are you going to do now ?
    CHIplay .
    CHI# the peoples@n want to .
  6. eng_USA_Bates/linda28.cha, line 209 · Linda, 2;4.
    MOToh thank you .
    CHI0 .
    MOT*MOT: what are we supposed to do with them ?
    MOTwhat do you want +...
    MOToh # you put the people in there ?
  7. eng_USA_Bates/linda28.cha, line 394 · Linda, 2;4.
    CHIeibody's [: everybody's] xxx .
    MOTdo what ?
    MOT*MOT: are they going to let him in ?
    CHI0 .
    MOToh # that's nice .

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. Linda eng_USA_Bates28.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/linda28.chaLinda 2;4.2507728.00

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. are7 · 100.0%