PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

4.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (744 utterances, 2,861 words searched).

  1. you're reading to Fraser . FAT · eng_USA_Brown/eve07.cha, line 43 · Eve 1;09
  2. just like Fraser's paper . MOT · eng_USA_Brown/eve07.cha, line 495 · Eve 1;09
  3. Eve will read Lassie to Fraser # eh ? COL · eng_USA_Brown/eve07.cha, line 596 · Eve 1;09
  4. Eve will read Fraser Lassie . COL · eng_USA_Brown/eve07.cha, line 604 · Eve 1;09
  5. will Eve read Fraser Lassie ? COL · eng_USA_Brown/eve07.cha, line 619 · Eve 1;09
  6. will Eve read Lassie to Fraser ? COL · eng_USA_Brown/eve07.cha, line 626 · Eve 1;09
  7. will Fraser read Eve Lassie ? COL · eng_USA_Brown/eve07.cha, line 635 · Eve 1;09
  8. will Fraser read Lassie Eve ? COL · eng_USA_Brown/eve07.cha, line 642 · Eve 1;09
  9. Fraser's going to drink his coffee # out of a cup . MOT · eng_USA_Brown/eve07.cha, line 1470 · Eve 1;09
  10. one for Fraser ? MOT · eng_USA_Brown/eve07.cha, line 1634 · Eve 1;09
  11. well # Fraser's paper is going to be written on by Fraser . MOT · eng_USA_Brown/eve07.cha, line 2230 · Eve 1;09
  12. well # Fraser's paper is going to be written on by Fraser . MOT · eng_USA_Brown/eve07.cha, line 2230 · Eve 1;09
  13. you're going to give the sugar to Fraser . MOT · eng_USA_Brown/eve07.cha, line 2512 · Eve 1;09
  14. that's Fraser's paper . COL · eng_USA_Brown/eve07.cha, line 3627 · Eve 1;09
  1. eng_USA_Brown/eve07.cha, line 43 · Eve, 1;9.
    COLare you coming to write ?
    CHIyep reading .
    FAT*FAT: you're reading to Fraser .
    CHIFraser reading xxx reading .
    COLwhat did you say I'm doing ?
  2. eng_USA_Brown/eve07.cha, line 495 · Eve, 1;9.
    MOThere's Eve's paper .
    CHIno .
    MOT*MOT: just like Fraser's paper .
    CHIxxx .
    MOTdo what ?
  3. eng_USA_Brown/eve07.cha, line 596 · Eve, 1;9.
    CHIyou read Lassie .
    CHIxxx Lassie .
    COL*COL: Eve will read Lassie to Fraser # eh ?
    CHIFraser read Lassie .
    COLEve will read Fraser Lassie .
  4. eng_USA_Brown/eve07.cha, line 604 · Eve, 1;9.
    COLEve will read Lassie to Fraser # eh ?
    CHIFraser read Lassie .
    COL*COL: Eve will read Fraser Lassie .
    CHIFraser read Lassie .
    CHIFraser read Lassie .
  5. eng_USA_Brown/eve07.cha, line 619 · Eve, 1;9.
    COLEve will read Lassie .
    CHIFraser read Lassie .
    COL*COL: will Eve read Fraser Lassie ?
    CHIno .
    COLwill Eve read Lassie to Fraser ?
  6. eng_USA_Brown/eve07.cha, line 626 · Eve, 1;9.
    COLwill Eve read Fraser Lassie ?
    CHIno .
    COL*COL: will Eve read Lassie to Fraser ?
    CHIno .
    COLwill Fraser read Eve Lassie ?
  7. eng_USA_Brown/eve07.cha, line 635 · Eve, 1;9.
    COLwill Eve read Lassie to Fraser ?
    CHIno .
    COL*COL: will Fraser read Eve Lassie ?
    CHIno .
    COLwill Fraser read Lassie Eve ?
  8. eng_USA_Brown/eve07.cha, line 642 · Eve, 1;9.
    COLwill Fraser read Eve Lassie ?
    CHIno .
    COL*COL: will Fraser read Lassie Eve ?
    CHIyeah .
    CHIFraser read Lassie +...
  9. eng_USA_Brown/eve07.cha, line 1470 · Eve, 1;9.
    MOTyou may have a turn after Sarah .
    MOTokay ?
    MOT*MOT: Fraser's going to drink his coffee # out of a cup .
    MOThe's big .
    CHIbig .
  10. eng_USA_Brown/eve07.cha, line 1634 · Eve, 1;9.
    MOTfor me ?
    CHIone Fraser .
    MOT*MOT: one for Fraser ?
    CHIdrop .
    CHIbaby Sarah drink out bottle .
  11. eng_USA_Brown/eve07.cha, line 2230 · Eve, 1;9.
    MOTwait # we'll get your paper .
    CHIno [/] # no xxx piece a paper .
    MOT*MOT: well # Fraser's paper is going to be written on by Fraser .
    MOThere [?] .
    MOThere's Eve's paper .
  12. eng_USA_Brown/eve07.cha, line 2512 · Eve, 1;9.
    CHIcame # take sugar .
    CHIcame # take sugar .
    MOT*MOT: you're going to give the sugar to Fraser .
    COLthank you very much .
    CHImore grape juice .
  13. eng_USA_Brown/eve07.cha, line 3627 · Eve, 1;9.
    CHI<dat mine paper> [x 3] .
    COLno .
    COL*COL: that's Fraser's paper .
    COLwhere's your paper ?
    FAThi # Eve .

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. Eve eng_USA_Brown4.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve07.chaEve 1;9.2,86113144.89

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. fraser14 · 100.0%