PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

8.47 per 1,000 words of the child (CHI), in 1 of 1 transcripts (309 utterances, 945 words searched).

  1. dat how you make a &ra ? CHI · eng_USA_Brown/sarah104.cha, line 11 · Sarah 4;04
  2. dat how you make a apple ears . CHI · eng_USA_Brown/sarah104.cha, line 63 · Sarah 4;04
  3. how # like these ? CHI · eng_USA_Brown/sarah104.cha, line 233 · Sarah 4;04
  4. that how I write good ? CHI · eng_USA_Brown/sarah104.cha, line 274 · Sarah 4;04
  5. toes # dis how you make toes # like fingers # huh ? CHI · eng_USA_Brown/sarah104.cha, line 300 · Sarah 4;04
  6. what [//] how many toes I have ? CHI · eng_USA_Brown/sarah104.cha, line 315 · Sarah 4;04
  7. how many ? CHI · eng_USA_Brown/sarah104.cha, line 597 · Sarah 4;04
  8. I don't know how to make a d@l # do I ? CHI · eng_USA_Brown/sarah104.cha, line 744 · Sarah 4;04
  1. CHI*CHI: dat how you make a &ra ?
    CHIno # wait a minute .
    CHIdere # for &t +...
  2. CHIears .
    CHIthere ears .
    CHI*CHI: dat how you make a apple ears .
    GAIdid you ever see an apple with ears ?
    CHIno # but I thought one right here .
  3. CHI(e)rase it off .
    MOTmake xxx the other one .
    CHI*CHI: how # like these ?
    FATno # you copy this s@l .
    CHII'll copy that s@l .
  4. CHI0 .
    GAI<start up> [/] start up here .
    CHI*CHI: that how I write good ?
    GAIsure .
    CHIok .
  5. CHIif I write this # and that # like that # what it can be ?
    CHIa teapot walkin(g) .
    CHI*CHI: toes # dis how you make toes # like fingers # huh ?
    MELtoast like fingers .
    CHIno # toes .
  6. MELhow many toes ?
    CHIfive a them .
    CHI*CHI: what [//] how many toes I have ?
    MELhow many do you think you have ?
    MELcan you count them ?
  7. MELyou have what ?
    CHII have one more .
    CHI*CHI: how many ?
    CHIdat all ?
    FATyeah # that's all .
  8. CHIy(ou) make # around and one .
    CHIand then you make +...
    CHI*CHI: I don't know how to make a d@l # do I ?
    CHIdat a d@l ?
    GAIdoes it look like a d@l to you ?

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_Brown8.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah104.chaSarah 4;4.11945888.47

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. how8 · 100.0%