PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 1,731 words searched).

  1. mouse . GRA · eng_USA_Brown/sarah017.cha, line 1448 · Sarah 2;06
  2. that's a mouse trap . GRA · eng_USA_Brown/sarah017.cha, line 1498 · Sarah 2;06
  3. oh # that's the big cat # after the mouse . GRA · eng_USA_Brown/sarah017.cha, line 1652 · Sarah 2;06
  4. <see how the big cat's> [//] he's after the mouse . GRA · eng_USA_Brown/sarah017.cha, line 1655 · Sarah 2;06
  5. that's the flyin(g) mouse . GRA · eng_USA_Brown/sarah017.cha, line 2001 · Sarah 2;06
  1. CHIdere .
    CHIyyy .
    GRA*GRA: mouse .
    CHImouse ?
    GRAyeah .
  2. CHIMummy .
    CHIyyy .
    GRA*GRA: that's a mouse trap .
    GRAsee # he's gonna get the cheese .
    GRAsee the cheese there ?
  3. CHIyyy .
    CHIxxx +/.
    GRA*GRA: oh # that's the big cat # after the mouse .
    GRA<see how the big cat's> [//] he's after the mouse .
    GRAhe's gonna eat him up .
  4. CHIxxx +/.
    GRAoh # that's the big cat # after the mouse .
    GRA*GRA: <see how the big cat's> [//] he's after the mouse .
    GRAhe's gonna eat him up .
    CHIxxx up ?
  5. CHIxxx .
    CHIxxx o:h !
    GRA*GRA: that's the flyin(g) mouse .
    CHIyyy .
    CHIyyy .

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_Brown2.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah017.chaSarah 2;6.131,731552.89

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. mouse5 · 100.0%