PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

12.68 per 1,000 words of the child (CHI), in 1 of 1 transcripts (235 utterances, 710 words searched).

  1. no . CHI · eng_USA_Brown/sarah128.cha, line 130 · Sarah 4;10
  2. no . CHI · eng_USA_Brown/sarah128.cha, line 316 · Sarah 4;10
  3. no # it was just right . CHI · eng_USA_Brown/sarah128.cha, line 418 · Sarah 4;10
  4. no # it's two o'clock . CHI · eng_USA_Brown/sarah128.cha, line 518 · Sarah 4;10
  5. mm no . CHI · eng_USA_Brown/sarah128.cha, line 638 · Sarah 4;10
  6. no sir . CHI · eng_USA_Brown/sarah128.cha, line 744 · Sarah 4;10
  7. no sir . CHI · eng_USA_Brown/sarah128.cha, line 750 · Sarah 4;10
  8. no . CHI · eng_USA_Brown/sarah128.cha, line 955 · Sarah 4;10
  9. no . CHI · eng_USA_Brown/sarah128.cha, line 1032 · Sarah 4;10
  1. CHIwe had # not real bee .
    GAIroast beef ?
    CHI*CHI: no .
    CHIwe had tonic and candy and lots of things .
    CHIwhat are ya makin(g) ?
  2. CHIyeah .
    GAIare you going to be there by yourself ?
    CHI*CHI: no .
    MOTwho are you goin(g) with ?
    CHII'm goin(g) with +...
  3. CHIup to here .
    GAIoh # so it became too small ?
    CHI*CHI: no # it was just right .
    GAIoh .
    GAIwhat does it look like ?
  4. MOTseven thirty ?
    MOTseven thirty .
    CHI*CHI: no # it's two o'clock .
    CHItwo o'clock .
    CHIyou're a star .
  5. CHII'm not gonna .
    MOTyou're not gonna do your dance ?
    CHI*CHI: mm no .
    MOTon the stage # with all the make+up on (a)n(d) everything ?
    CHI0 .
  6. MOTfour years old ?
    MOTwhen you were about two years old .
    CHI*CHI: no sir .
    MOTyou weren't even two .
    MOTyeah # you were two .
  7. MOTyou weren't even two .
    MOTyeah # you were two .
    CHI*CHI: no sir .
    MOTyeah # you were two .
    MOTyou were goin(g) on three .
  8. CHI0 .
    GAIwas it the same both times ?
    CHI*CHI: no .
    MOTwhat circus ?
    CHIthe tiger on the horse .
  9. CHInothin(g) .
    MOTnothing ?
    CHI*CHI: no .
    CHIcould I see that pen over there ?
    CHIdoes it work ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown12.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah128.chaSarah 4;10.217109912.68

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. no9 · 100.0%