PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (280 utterances, 1,198 words searched).

  1. what do you want to write ? GAI · eng_USA_Brown/sarah106.cha, line 21 · Sarah 4;04
  2. you want a what ? GAI · eng_USA_Brown/sarah106.cha, line 166 · Sarah 4;04
  3. what did you want for your Daddy ? MEL · eng_USA_Brown/sarah106.cha, line 180 · Sarah 4;04
  4. do you want Santa_Claus to bring you something special ? GAI · eng_USA_Brown/sarah106.cha, line 197 · Sarah 4;04
  5. want a cup a tea ? MOT · eng_USA_Brown/sarah106.cha, line 397 · Sarah 4;04
  6. you want coffee cake or a donut ? MOT · eng_USA_Brown/sarah106.cha, line 587 · Sarah 4;04
  1. eng_USA_Brown/sarah106.cha, line 21 · Sarah, 4;4.25
    GAIwhat ?
    CHIwrite somethin(g) .
    GAI*GAI: what do you want to write ?
    CHIum +...
    CHII'm goin(g) write # a monster .
  2. eng_USA_Brown/sarah106.cha, line 166 · Sarah, 4;4.25
    MOTtell em what you told him .
    CHIwant a wig for my Mommy .
    GAI*GAI: you want a what ?
    MELwhat ?
    CHIa wig .
  3. eng_USA_Brown/sarah106.cha, line 180 · Sarah, 4;4.25
    GAIoh # and what else ?
    CHIonly a wig .
    MEL*MEL: what did you want for your Daddy ?
    CHInothin(g) .
    MELand how (a)bout for you ?
  4. eng_USA_Brown/sarah106.cha, line 197 · Sarah, 4;4.25
    MOTlabels ?
    MELwhat kind o(f) labels ?
    GAI*GAI: do you want Santa_Claus to bring you something special ?
    CHIno .
    MOTwhat does that monster have on him now ?
  5. eng_USA_Brown/sarah106.cha, line 397 · Sarah, 4;4.25
    CHIa seal .
    CHIyeah # a seal .
    MOT*MOT: want a cup a tea ?
    CHI(a)n(d) a owl .
    MELlet's see .
  6. eng_USA_Brown/sarah106.cha, line 587 · Sarah, 4;4.25
    MOTwhat do you see when you look that way ?
    GAIpardon ?
    MOT*MOT: you want coffee cake or a donut ?
    GAIno # thank+you .
    MOTwell # some day we'll get you to have solid food .

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_Brown5.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah106.chaSarah 4;4.251,198665.01

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. want6 · 100.0%