PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.42 per 1,000 words of the child (CHI), in 1 of 1 transcripts (262 utterances, 679 words searched).

  1. will you make a dog ? CHI · eng_USA_Brown/sarah057.cha, line 515 · Sarah 3;04
  2. I will xxx over . CHI · eng_USA_Brown/sarah057.cha, line 990 · Sarah 3;04
  3. will you jus(t) rip this # top . CHI · eng_USA_Brown/sarah057.cha, line 1138 · Sarah 3;04
  1. eng_USA_Brown/sarah057.cha, line 515 · Sarah, 3;4.09
    MOTI don't know how to make a dog .
    MOTmy dogs don't even look like dogs # standin(g) up or sittin(g) down .
    CHI*CHI: will you make a dog ?
    KENthat's a good cat .
    KENI don't know how to make a dog .
  2. eng_USA_Brown/sarah057.cha, line 990 · Sarah, 3;4.09
    MOT<jus(t) you> [/] # jus(t) you can go # ok ?
    CHIno !
    CHI*CHI: I will xxx over .
    MOTno # no .
    MOTUncle George and Aunt_Dot <come to> [//] # is comin(g) Thursday .
  3. eng_USA_Brown/sarah057.cha, line 1138 · Sarah, 3;4.09
    KENwhat's your favorite # Sarah ?
    MOTjus(t) pull it up from the top .
    CHI*CHI: will you jus(t) rip this # top .
    MOTmmhm .
    MOTxxx it from the top .

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_Brown4.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah057.chaSarah 3;4.09679334.42

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. will3 · 100.0%