PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,245 words searched).

  1. Sarah # how many earrings do I have ? GLO · eng_USA_Brown/sarah027.cha, line 132 · Sarah 2;09
  2. how many things do I have in my hand . GLO · eng_USA_Brown/sarah027.cha, line 139 · Sarah 2;09
  3. how many earrings do I have in my hand ? GLO · eng_USA_Brown/sarah027.cha, line 147 · Sarah 2;09
  4. how many earrings do I have now ? GLO · eng_USA_Brown/sarah027.cha, line 165 · Sarah 2;09
  5. and how many do I have ? GLO · eng_USA_Brown/sarah027.cha, line 182 · Sarah 2;09
  6. now how many do I have ? GLO · eng_USA_Brown/sarah027.cha, line 199 · Sarah 2;09
  1. eng_USA_Brown/sarah027.cha, line 132 · Sarah, 2;9.
    GLOdere ?
    CHIdere .
    GLO*GLO: Sarah # how many earrings do I have ?
    CHItwo .
    GLOok .
  2. eng_USA_Brown/sarah027.cha, line 139 · Sarah, 2;9.
    CHItwo .
    GLOok .
    GLO*GLO: how many things do I have in my hand .
    CHIxxx .
    CHItwo .
  3. eng_USA_Brown/sarah027.cha, line 147 · Sarah, 2;9.
    CHIxxx .
    CHItwo .
    GLO*GLO: how many earrings do I have in my hand ?
    CHIone .
    GLOvery good .
  4. eng_USA_Brown/sarah027.cha, line 165 · Sarah, 2;9.
    CHIall gone .
    GLOall gone ?
    GLO*GLO: how many earrings do I have now ?
    CHItwo .
    GLOtwo ?
  5. eng_USA_Brown/sarah027.cha, line 182 · Sarah, 2;9.
    GLOyou have one earring don't you ?
    CHIyes # I have one earring .
    GLO*GLO: and how many do I have ?
    MOTcount them .
    CHIone .
  6. eng_USA_Brown/sarah027.cha, line 199 · Sarah, 2;9.
    CHI<five six seven eight> [=! counting] . [+ bch]
    CHInine .
    GLO*GLO: now how many do I have ?
    MOTcount them .
    MOTtouch them and count them .

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_Brown4.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245664.82

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. many6 · 100.0%