PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,276 words searched).

  1. I'm not sure it goes on with this one . MOT · eng_british_Manchester_I/becky28b.cha, line 153 · Becky 2;09
  2. I think it goes with that blue dress . MOT · eng_british_Manchester_I/becky28b.cha, line 156 · Becky 2;09
  3. that one you eat with a bread roll . MOT · eng_british_Manchester_I/becky28b.cha, line 896 · Becky 2;09
  4. you haven't played with the Duplo . INV · eng_british_Manchester_I/becky28b.cha, line 1471 · Becky 2;09
  5. you were going to play with this , weren't you ? MOT · eng_british_Manchester_I/becky28b.cha, line 1479 · Becky 2;09
  6. we play with these then ? MOT · eng_british_Manchester_I/becky28b.cha, line 1502 · Becky 2;09
  7. need to get it out of the box for you to play with it really . MOT · eng_british_Manchester_I/becky28b.cha, line 1602 · Becky 2;09
  1. MOTthat's a frilly collar .
    CHIand can we put on her ?
    MOT*MOT: I'm not sure it goes on with this one .
    MOTI think it goes with that blue dress .
    MOTI can't tie this .
  2. CHIand can we put on her ?
    MOTI'm not sure it goes on with this one .
    MOT*MOT: I think it goes with that blue dress .
    MOTI can't tie this .
    CHIwhere's her blue +...
  3. CHIxxx .
    MOTwell .
    MOT*MOT: that one you eat with a bread roll .
    CHIwhat ?
    CHIlike one of these .
  4. CHII want to read it .
    MOTI don't think we need to read a story just at the moment , do we, Becky ?
    INV*INV: you haven't played with the Duplo .
    CHIwhat ?
    MOTthere's some lego here .
  5. MOTthere's some lego here .
    MOToh .
    MOT*MOT: you were going to play with this , weren't you ?
    CHIyes .
    CHIwe were .
  6. CHIanother day .
    CHICaroline xxx .
    MOT*MOT: we play with these then ?
    CHIyes .
    CHIwhat I do ?
  7. INVor hoops .
    CHIxxx .
    MOT*MOT: need to get it out of the box for you to play with it really .
    CHIxxx .
    CHIhave you bought these ?

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_I5.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky28b.chaBecky 2;9.131,276775.49

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. with7 · 100.0%