PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (453 utterances, 1,834 words searched).

  1. are you going to put them on your arm ? MOT · eng_british_Manchester_I/becky05b.cha, line 24 · Becky 2;01
  2. I don't know where all the rest of them have gone . MOT · eng_british_Manchester_I/becky05b.cha, line 297 · Becky 2;01
  3. what's on top of them ? MOT · eng_british_Manchester_I/becky05b.cha, line 398 · Becky 2;01
  4. put them on . MOT · eng_british_Manchester_I/becky05b.cha, line 773 · Becky 2;01
  5. but what is holding them onto the line ? MOT · eng_british_Manchester_I/becky05b.cha, line 1360 · Becky 2;01
  6. shall we put them on here ? MOT · eng_british_Manchester_I/becky05b.cha, line 1494 · Becky 2;01
  7. I'm looking for them . MOT · eng_british_Manchester_I/becky05b.cha, line 1515 · Becky 2;01
  8. take them off . MOT · eng_british_Manchester_I/becky05b.cha, line 1567 · Becky 2;01
  1. MOTshall I help you ?
    MOTyou have to take the rings out first .
    MOT*MOT: are you going to put them on your arm ?
    CHIyeah .
    MOTso they're going to be like a bracelet ?
  2. CHIgrapes .
    MOTyour pennys are here , look .
    MOT*MOT: I don't know where all the rest of them have gone .
    CHIgrapes .
    CHIgrapes .
  3. CHIcakes .
    MOTthey're cakes yes .
    MOT*MOT: what's on top of them ?
    MOTwhat's this ?
    CHIcherrys .
  4. CHIthat ?
    MOTthat's the bottom .
    MOT*MOT: put them on .
    CHIxxx .
    MOTwhat's this ?
  5. MOTclothes .
    MOTyes .
    MOT*MOT: but what is holding them onto the line ?
    CHIxxx .
    MOTit's the pegs , isn't it ?
  6. CHIthat one .
    CHIno .
    MOT*MOT: shall we put them on here ?
    CHIyes .
    CHImore .
  7. CHIdoing ?
    MOTdoing ?
    MOT*MOT: I'm looking for them .
    MOTI don't think there are any more .
    MOTI thought there were more than three .
  8. CHIsocks off .
    MOTgo on then .
    MOT*MOT: take them off .
    CHIyes .
    CHImore .

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_I4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky05b.chaBecky 2;1.241,834884.36

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. them8 · 100.0%