PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (351 utterances, 1,255 words searched).

  1. it can be . MOT · eng_british_Manchester_I/becky22b.cha, line 546 · Becky 2;07
  2. maybe you can be like a baby ? MOT · eng_british_Manchester_I/becky22b.cha, line 1054 · Becky 2;07
  3. you want to be a little girl ? MOT · eng_british_Manchester_I/becky22b.cha, line 1070 · Becky 2;07
  4. they'll be much too big for her , Becky . MOT · eng_british_Manchester_I/becky22b.cha, line 1283 · Becky 2;07
  5. because they'll be too big for her . MOT · eng_british_Manchester_I/becky22b.cha, line 1292 · Becky 2;07
  6. be careful please , Becky . MOT · eng_british_Manchester_I/becky22b.cha, line 1372 · Becky 2;07
  7. be careful . MOT · eng_british_Manchester_I/becky22b.cha, line 1378 · Becky 2;07
  8. it could be very hot . MOT · eng_british_Manchester_I/becky22b.cha, line 1384 · Becky 2;07
  1. CHII like pears .
    CHIum is this for me ?
    MOT*MOT: it can be .
    MOTyes .
    CHIxxx .
  2. MOTxxx .
    CHImaybe I can be like a baby .
    MOT*MOT: maybe you can be like a baby ?
    CHIyeah .
    MOTyou're not a baby .
  3. CHII am .
    CHIbecause I am little girl .
    MOT*MOT: you want to be a little girl ?
    CHIyes .
    MOTwell .
  4. CHIwe have .
    MOTI'm not sure dolly has any shoes , does she ?
    MOT*MOT: they'll be much too big for her , Becky .
    CHIxxx .
    MOTthey got some of these .
  5. MOTthey got some of these .
    CHIwe 0have [*] got some of these .
    MOT*MOT: because they'll be too big for her .
    CHIoh .
    CHIxxx .
  6. CHIwhich one next ?
    CHII can do &a work .
    MOT*MOT: be careful please , Becky .
    MOTlook .
    MOTI've got a cup of tea here .
  7. MOTlook .
    MOTI've got a cup of tea here .
    MOT*MOT: be careful .
    CHIxxx .
    MOTno .
  8. CHIxxx .
    MOTno .
    MOT*MOT: it could be very hot .
    MOTjust stay there while I empty this .
    CHIthis .

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_I6.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky22b.chaBecky 2;7.091,255886.37

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. be8 · 100.0%