PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

12.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (330 utterances, 1,329 words searched).

  1. are you making some dinner ? MOT · eng_british_Manchester_I/becky10a.cha, line 13 · Becky 2;03
  2. there you are . MOT · eng_british_Manchester_I/becky10a.cha, line 73 · Becky 2;03
  3. there we are . MOT · eng_british_Manchester_I/becky10a.cha, line 164 · Becky 2;03
  4. here you are . MOT · eng_british_Manchester_I/becky10a.cha, line 184 · Becky 2;03
  5. here you are . MOT · eng_british_Manchester_I/becky10a.cha, line 505 · Becky 2;03
  6. what are you doing , Becky ? MOT · eng_british_Manchester_I/becky10a.cha, line 645 · Becky 2;03
  7. you're lying down , are you ? MOT · eng_british_Manchester_I/becky10a.cha, line 653 · Becky 2;03
  8. are you going to go to sleep ? MOT · eng_british_Manchester_I/becky10a.cha, line 655 · Becky 2;03
  9. there we are then . MOT · eng_british_Manchester_I/becky10a.cha, line 1020 · Becky 2;03
  10. there we are . MOT · eng_british_Manchester_I/becky10a.cha, line 1024 · Becky 2;03
  11. are we going to get something else out ? MOT · eng_british_Manchester_I/becky10a.cha, line 1041 · Becky 2;03
  12. your pennys are there . MOT · eng_british_Manchester_I/becky10a.cha, line 1080 · Becky 2;03
  13. there you are . MOT · eng_british_Manchester_I/becky10a.cha, line 1105 · Becky 2;03
  14. these crayons are very small . MOT · eng_british_Manchester_I/becky10a.cha, line 1119 · Becky 2;03
  15. because these are letters , aren't they ? MOT · eng_british_Manchester_I/becky10a.cha, line 1180 · Becky 2;03
  16. are you sure ? MOT · eng_british_Manchester_I/becky10a.cha, line 1370 · Becky 2;03
  1. MOT*MOT: are you making some dinner ?
    CHIyeah .
    CHImore crayons .
  2. CHIyeah .
    MOTokay .
    MOT*MOT: there you are .
    MOTshall we pull that back if you're going to stay there ?
    CHIhere's a fork .
  3. CHIyes .
    MOTput the lid back on now then .
    MOT*MOT: there we are .
    MOTput some in here now .
    CHIwhy ?
  4. CHIlid .
    MOTlid ?
    MOT*MOT: here you are .
    CHIxxx some more .
    CHIwarm .
  5. CHImore .
    CHImore .
    MOT*MOT: here you are .
    MOThere're all the spoons .
    CHIwhere 0is [*] Sukie ?
  6. MOTyou're going to row the boat now ?
    CHII don't know xxx .
    MOT*MOT: what are you doing , Becky ?
    CHIlying down .
    MOTyou're doing what ?
  7. MOTyou're doing what ?
    CHIlying down .
    MOT*MOT: you're lying down , are you ?
    MOTare you going to go to sleep ?
    MOTnight+night then .
  8. CHIlying down .
    MOTyou're lying down , are you ?
    MOT*MOT: are you going to go to sleep ?
    MOTnight+night then .
    CHIcurtains .
  9. MOTI don't think the lid will go on now .
    MOTlet me see if I can him in .
    MOT*MOT: there we are then .
    MOTxxx .
    MOTthere we are .
  10. MOTthere we are then .
    MOTxxx .
    MOT*MOT: there we are .
    CHIthank you .
    CHIbreaking this .
  11. MOTshall I ?
    CHIyeah .
    MOT*MOT: are we going to get something else out ?
    CHIxxx toys .
    CHIwant some more toys .
  12. MOTno .
    MOTthey're not your pennys .
    MOT*MOT: your pennys are there .
    CHI<more > [>] .
    MOT<do you want> [<] do you want to do some +//.
  13. MOTdo you want to write on here ?
    MOTyou willn't be able to sit down there anyway .
    MOT*MOT: there you are .
    CHIthank you .
    CHIdo writing .
  14. MOTshall I write your name ?
    CHIyeah .
    MOT*MOT: these crayons are very small .
    MOThave you been breaking them ?
    CHIyeah .
  15. CHItop of shapes .
    CHItop of the shapes .
    MOT*MOT: because these are letters , aren't they ?
    MOTcan you say letters ?
    MOTand letters make words, don't they ?
  16. MOTneed a wee ?
    CHIno .
    MOT*MOT: are you sure ?
    CHII 0am [*] doing painting .

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_I12.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky10a.chaBecky 2;3.061,329161612.04

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. are16 · 100.0%