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. are there some kites in here ? MOT · eng_british_Manchester_I/becky31a.cha, line 69 · Becky 2;10
  2. we've got a buzzy fly here , Becky . MOT · eng_british_Manchester_I/becky31a.cha, line 522 · Becky 2;10
  3. do you want to do another one in here ? MOT · eng_british_Manchester_I/becky31a.cha, line 700 · Becky 2;10
  4. look what we've got here . MOT · eng_british_Manchester_I/becky31a.cha, line 1296 · Becky 2;10
  5. they're here . MOT · eng_british_Manchester_I/becky31a.cha, line 1424 · Becky 2;10
  6. two dirty here , look . MOT · eng_british_Manchester_I/becky31a.cha, line 1426 · Becky 2;10
  1. eng_british_Manchester_I/becky31a.cha, line 69 · Becky, 2;10.25
    MOTare there some kites ?
    CHIwhat ?
    MOT*MOT: are there some kites in here ?
    CHIno .
    CHIthe kite xxx .
  2. eng_british_Manchester_I/becky31a.cha, line 522 · Becky, 2;10.25
    CHIyeah .
    MOTgood .
    MOT*MOT: we've got a buzzy fly here , Becky .
    MOTcan you see it ?
    MOTcan you hear it ?
  3. eng_british_Manchester_I/becky31a.cha, line 700 · Becky, 2;10.25
    MOTgood .
    CHIum what can I do now , mum ?
    MOT*MOT: do you want to do another one in here ?
    MOTor we could play snap now if you like .
    CHIsnap .
  4. eng_british_Manchester_I/becky31a.cha, line 1296 · Becky, 2;10.25
    MOThang on .
    MOT<it's not> [/] it's not your go , is it ?
    MOT*MOT: look what we've got here .
    MOTwhat've we got ?
    CHImonkeys .
  5. eng_british_Manchester_I/becky31a.cha, line 1424 · Becky, 2;10.25
    MOTthere .
    CHIxxx dirty ?
    MOT*MOT: they're here .
    MOTtwo dirty here , look .
    MOTaren't they ?
  6. eng_british_Manchester_I/becky31a.cha, line 1426 · Becky, 2;10.25
    CHIxxx dirty ?
    MOTthey're here .
    MOT*MOT: two dirty here , look .
    MOTaren't they ?
    CHIxxx .

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. here6 · 100.0%