PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (497 utterances, 1,627 words searched).

  1. are you going to talk to me ? MOT · eng_british_Manchester_II/joel01a.cha, line 437 · Joel 1;11
  2. do you want to talk to daddy on the telephone ? MOT · eng_british_Manchester_II/joel01a.cha, line 606 · Joel 1;11
  3. oh you want to talk to Joel ? MOT · eng_british_Manchester_II/joel01a.cha, line 618 · Joel 1;11
  4. you go and talk to daddy, look . MOT · eng_british_Manchester_II/joel01a.cha, line 623 · Joel 1;11
  5. are you going to talk to him ? MOT · eng_british_Manchester_II/joel01a.cha, line 652 · Joel 1;11
  6. I don't want to talk to daddy thank you . INV · eng_british_Manchester_II/joel01a.cha, line 671 · Joel 1;11
  7. are you going to come and talk to us ? MOT · eng_british_Manchester_II/joel01a.cha, line 1243 · Joel 1;11
  1. MOToh+dear .
    MOTxxx .
    MOT*MOT: are you going to talk to me ?
    MOTbecause I'm doing this for you, look .
    MOTwhat [//] xxx [/] what [/] what are we missing ?
  2. MOThave enough of that, have we ?
    MOTnow +/.
    MOT*MOT: do you want to talk to daddy on the telephone ?
    CHIyeah .
    MOTshall we get +...
  3. MOTthere, look .
    MOTsay hello .
    MOT*MOT: oh you want to talk to Joel ?
    MOTright .
    MOTyou go and talk to daddy, look .
  4. MOToh you want to talk to Joel ?
    MOTright .
    MOT*MOT: you go and talk to daddy, look .
    MOToh .
    MOTwhoops .
  5. INVwww .
    MOTtell daddy what you've been doing .
    MOT*MOT: are you going to talk to him ?
    CHIhello .
    MOTwww .
  6. CHIlady .
    INVlady .
    INV*INV: I don't want to talk to daddy thank you .
    INVare you giving the phone back to mummy ?
    MOTare you going to pretend to phone +//.
  7. CHIa cheeky monkey .
    INVare you ?
    MOT*MOT: are you going to come and talk to us ?
    MOTCaroline's come to see you .
    CHIlady xxx .

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. Joel eng_british_Manchester_II4.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel01a.chaJoel 1;11.011,627774.30

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. talk7 · 100.0%