PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (410 utterances, 1,418 words searched).

  1. well . MOT · eng_british_Manchester_I/becky31a.cha, line 20 · Becky 2;10
  2. we're playing cards as well , are we ? MOT · eng_british_Manchester_I/becky31a.cha, line 42 · Becky 2;10
  3. well . MOT · eng_british_Manchester_I/becky31a.cha, line 164 · Becky 2;10
  4. well done . MOT · eng_british_Manchester_I/becky31a.cha, line 205 · Becky 2;10
  5. well . MOT · eng_british_Manchester_I/becky31a.cha, line 445 · Becky 2;10
  6. they're having a kiss as well . MOT · eng_british_Manchester_I/becky31a.cha, line 1471 · Becky 2;10
  1. eng_british_Manchester_I/becky31a.cha, line 20 · Becky, 2;10.25
    MOTcan what ?
    CHIcan [/] can I see all the toys ?
    MOT*MOT: well .
    MOTwe'll see those a bit later .
    MOTthought you might like to have a go at this , Becky .
  2. eng_british_Manchester_I/becky31a.cha, line 42 · Becky, 2;10.25
    CHII play you .
    MOToh right .
    MOT*MOT: we're playing cards as well , are we ?
    CHIyeah .
    MOTshall we do that first ?
  3. eng_british_Manchester_I/becky31a.cha, line 164 · Becky, 2;10.25
    MOTso show me what's different ?
    CHIthat's different .
    MOT*MOT: well .
    MOTnot exactly .
    MOTwhat about the door ?
  4. eng_british_Manchester_I/becky31a.cha, line 205 · Becky, 2;10.25
    MOTit is .
    MOTyes .
    MOT*MOT: well done .
    CHIand that's different .
    CHIand [/] and can we pour xxx .
  5. eng_british_Manchester_I/becky31a.cha, line 445 · Becky, 2;10.25
    MOTum probably .
    CHIthat's pink .
    MOT*MOT: well .
    MOTyes .
    MOTyou must've done that already .
  6. eng_british_Manchester_I/becky31a.cha, line 1471 · Becky, 2;10.25
    MOTaah .
    CHIwhat [/] what are they doing ?
    MOT*MOT: they're having a kiss as well .
    MOTlittle sniff and a kiss .
    CHIwhat ?

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. Becky eng_british_Manchester_I4.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky31a.chaBecky 2;10.251,418664.23

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. well6 · 100.0%