PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

6.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (195 utterances, 780 words searched).

  1. want some cake ? MEL · eng_USA_Brown/sarah126.cha, line 586 · Sarah 4;09
  2. the cake that's baking ? MEL · eng_USA_Brown/sarah126.cha, line 592 · Sarah 4;09
  3. how does that taste [//] cake taste ? GAI · eng_USA_Brown/sarah126.cha, line 865 · Sarah 4;09
  4. is that your favorite kind of cake ? MEL · eng_USA_Brown/sarah126.cha, line 870 · Sarah 4;09
  5. angel food cake ? MEL · eng_USA_Brown/sarah126.cha, line 875 · Sarah 4;09
  1. MELhuh ?
    CHIit's melt .
    MEL*MEL: want some cake ?
    CHI0 .
    MELcooking ?
  2. CHI0 .
    MELcooking ?
    MEL*MEL: the cake that's baking ?
    CHIit's not bakin(g) now .
    CHIcome on an(d) see it .
  3. CHII had a taste of that .
    CHIthat [?] .
    GAI*GAI: how does that taste [//] cake taste ?
    CHImm .
    MELis that your favorite kind of cake ?
  4. GAIhow does that taste [//] cake taste ?
    CHImm .
    MEL*MEL: is that your favorite kind of cake ?
    CHI0 .
    MELangel food cake ?
  5. MELis that your favorite kind of cake ?
    CHI0 .
    MEL*MEL: angel food cake ?
    CHIxxx .
    MOTis Daddy all ready ?

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_Brown6.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah126.chaSarah 4;9.26780556.41

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. cake5 · 100.0%