PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,422 words searched).

  1. this is red . MOT · eng_USA_Brown/sarah045.cha, line 542 · Sarah 3;01
  2. g(ive) me the red one . MOT · eng_USA_Brown/sarah045.cha, line 551 · Sarah 3;01
  3. the red one # that's it . MOT · eng_USA_Brown/sarah045.cha, line 553 · Sarah 3;01
  4. gi(ve) me the red one . GLO · eng_USA_Brown/sarah045.cha, line 573 · Sarah 3;01
  5. where's the red one ? GLO · eng_USA_Brown/sarah045.cha, line 575 · Sarah 3;01
  6. that's red . MOT · eng_USA_Brown/sarah045.cha, line 592 · Sarah 3;01
  7. here's the red one ? MOT · eng_USA_Brown/sarah045.cha, line 613 · Sarah 3;01
  8. she can hardly get red from blue yet . COU · eng_USA_Brown/sarah045.cha, line 1428 · Sarah 3;01
  1. MOTthat's orange .
    CHIthat's orange too .
    MOT*MOT: this is red .
    CHIyeah # xxx .
    MOT(a)n(d) that's orange .
  2. MOT(a)n(d) that's orange .
    MOT(a)n(d) that's brown .
    MOT*MOT: g(ive) me the red one .
    MOTthe red one # that's it .
    MOTwhere's the brown one ?
  3. MOT(a)n(d) that's brown .
    MOTg(ive) me the red one .
    MOT*MOT: the red one # that's it .
    MOTwhere's the brown one ?
    MOTg(ive) me the brown one .
  4. CHIwhere ?
    GLOwhere's the blue one ?
    GLO*GLO: gi(ve) me the red one .
    GLOwhere's the red one ?
    GLOI think you're just lazy .
  5. GLOwhere's the blue one ?
    GLOgi(ve) me the red one .
    GLO*GLO: where's the red one ?
    GLOI think you're just lazy .
    GLOno # wait a minute .
  6. MOTthat's blue .
    CHIblue .
    MOT*MOT: that's red .
    CHIred .
    MOTthat's orange .
  7. MOTthere's a yellow one .
    MOTyellow .
    MOT*MOT: here's the red one ?
    MOTwhat color's that ?
    CHIo(r)ange .
  8. COUthat's a fancy one .
    CHIbeige .
    COU*COU: she can hardly get red from blue yet .
    COUmuch less beige .
    KENSarah cat # what color's that ?

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. Sarah eng_USA_Brown5.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah045.chaSarah 3;1.171,422885.63

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. red8 · 100.0%