PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

4.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 1,245 words searched).

  1. you can write three ? GAI · eng_USA_Brown/sarah102.cha, line 20 · Sarah 4;03
  2. three again ? MEL · eng_USA_Brown/sarah102.cha, line 51 · Sarah 4;03
  3. you're not three anymore though # are you ? GAI · eng_USA_Brown/sarah102.cha, line 149 · Sarah 4;03
  4. three (a)n(d) three ? MEL · eng_USA_Brown/sarah102.cha, line 163 · Sarah 4;03
  5. three (a)n(d) three ? MEL · eng_USA_Brown/sarah102.cha, line 163 · Sarah 4;03
  1. eng_USA_Brown/sarah102.cha, line 20 · Sarah, 4;3.26
    GAIyes .
    CHIthree .
    GAI*GAI: you can write three ?
    CHIc@l .
    GAIthat's a c@l # yeah .
  2. eng_USA_Brown/sarah102.cha, line 51 · Sarah, 4;3.26
    CHInow # put big line on it .
    CHIthree again !
    MEL*MEL: three again ?
    MELdid you learn that at school # Sarah ?
    CHIno # my Mama teach me dat # huh ?
  3. eng_USA_Brown/sarah102.cha, line 149 · Sarah, 4;3.26
    CHIwanna see me make threes ?
    CHIright .
    GAI*GAI: you're not three anymore though # are you ?
    MELcan you make how old you are ?
    CHIwait a minute .
  4. eng_USA_Brown/sarah102.cha, line 163 · Sarah, 4;3.26
    CHIthree .
    CHIum # (a)n(d) three .
    MEL*MEL: three (a)n(d) three ?
    CHIno # four .
    MELfour .

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_Brown4.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah102.chaSarah 4;3.261,245454.02

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. three5 · 100.0%