PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (763 utterances, 2,777 words searched).

  1. and here's an egg . GLO · eng_USA_Brown/sarah063.cha, line 454 · Sarah 3;05
  2. that's an orange . GLO · eng_USA_Brown/sarah063.cha, line 458 · Sarah 3;05
  3. you have an orange cake ? GLO · eng_USA_Brown/sarah063.cha, line 462 · Sarah 3;05
  4. was that an egg ? GLO · eng_USA_Brown/sarah063.cha, line 503 · Sarah 3;05
  5. this is an ice cube . GLO · eng_USA_Brown/sarah063.cha, line 718 · Sarah 3;05
  6. he drinks an awful lot of coffee . GRA · eng_USA_Brown/sarah063.cha, line 1417 · Sarah 3;05
  7. Sarah's an acrobat . GLO · eng_USA_Brown/sarah063.cha, line 1772 · Sarah 3;05
  1. eng_USA_Brown/sarah063.cha, line 454 · Sarah, 3;5.20
    GLOhere's some flour .
    GLOand here's some butter .
    GLO*GLO: and here's an egg .
    CHIwhe(re) some # orange ?
    GLOthat's an orange .
  2. eng_USA_Brown/sarah063.cha, line 458 · Sarah, 3;5.20
    GLOand here's an egg .
    CHIwhe(re) some # orange ?
    GLO*GLO: that's an orange .
    GLOok .
    GLOyou have an orange cake ?
  3. eng_USA_Brown/sarah063.cha, line 462 · Sarah, 3;5.20
    GLOthat's an orange .
    GLOok .
    GLO*GLO: you have an orange cake ?
    CHIyeah .
    CHIin here .
  4. eng_USA_Brown/sarah063.cha, line 503 · Sarah, 3;5.20
    GRAthat's xxx .
    CHIoh .
    GLO*GLO: was that an egg ?
    NEIxxx where's that little place up town # for real .
    GLOSarah .
  5. eng_USA_Brown/sarah063.cha, line 718 · Sarah, 3;5.20
    CHIhey !
    MOTwhat ?
    GLO*GLO: this is an ice cube .
    GLOthere .
    GLOcan we get it up ?
  6. eng_USA_Brown/sarah063.cha, line 1417 · Sarah, 3;5.20
    GRAPaul probably drank three cups anyway .
    CHIxxx .
    GRA*GRA: he drinks an awful lot of coffee .
    CHIyyy me .
    CHIoh # make +...
  7. eng_USA_Brown/sarah063.cha, line 1772 · Sarah, 3;5.20
    MOTmmhm .
    CHIuh .
    GLO*GLO: Sarah's an acrobat .
    MOTmake a bridge for Gloria .
    MOToh !

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_Brown2.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah063.chaSarah 3;5.202,777772.52

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. an7 · 100.0%