PHPCLANCHILDES with regular expressions

10 matches in 9 utterances

6.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,496 words searched).

  1. I need one . URS · eng_USA_Brown/adam06.cha, line 29 · Adam 2;05
  2. I need one . URS · eng_USA_Brown/adam06.cha, line 33 · Adam 2;05
  3. one is a car and one is a what ? MOT · eng_USA_Brown/adam06.cha, line 146 · Adam 2;05
  4. one is a car and one is a what ? MOT · eng_USA_Brown/adam06.cha, line 146 · Adam 2;05
  5. did you see that one ? MOT · eng_USA_Brown/adam06.cha, line 309 · Adam 2;05
  6. oh # that one . MOT · eng_USA_Brown/adam06.cha, line 1095 · Adam 2;05
  7. I need one . URS · eng_USA_Brown/adam06.cha, line 1661 · Adam 2;05
  8. yes # I need one . URS · eng_USA_Brown/adam06.cha, line 1665 · Adam 2;05
  9. well # take one back to her . MOT · eng_USA_Brown/adam06.cha, line 1678 · Adam 2;05
  10. give her one that's good . MOT · eng_USA_Brown/adam06.cha, line 1680 · Adam 2;05
  1. CHIpencil .
    CHIpaper # Urler@c .
    URS*URS: I need one .
    CHIneed one ?
    URSI need one .
  2. URSI need one .
    CHIneed one ?
    URS*URS: I need one .
    CHIAdam need one .
    URSdo you need paper # Adam ?
  3. CHIcar .
    CHIcar .
    MOT*MOT: one is a car and one is a what ?
    CHItruck .
    CHI(a)nother one truck .
  4. CHItruck go ?
    MOTit's gone down the street .
    MOT*MOT: did you see that one ?
    CHIlook like Adam truck .
    MOTlooks like Adam's truck .
  5. CHIread dat # Mommy .
    CHIdat one .
    MOT*MOT: oh # that one .
    MOTwhat for ?
    CHIread one .
  6. CHIpencil .
    URSthank you .
    URS*URS: I need one .
    CHIneed one ?
    URSyes # I need one .
  7. URSI need one .
    CHIneed one ?
    URS*URS: yes # I need one .
    CHIneed one .
    URSthank you .
  8. CHIno .
    CHIno good .
    MOT*MOT: well # take one back to her .
    MOTgive her one that's good .
    CHIone .
  9. CHIno good .
    MOTwell # take one back to her .
    MOT*MOT: give her one that's good .
    CHIone .
    URSthank you .

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. Adam eng_USA_Brown6.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam06.chaAdam 2;5.121,4969106.68

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. one10 · 100.0%