PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.80 per 1,000 words of the child (CHI), in 1 of 1 transcripts (261 utterances, 1,070 words searched).

  1. Ann_Marie . CHI · eng_USA_Brown/sarah119.cha, line 842 · Sarah 4;07
  2. then she played with Ann_Marie . CHI · eng_USA_Brown/sarah119.cha, line 856 · Sarah 4;07
  3. (a)n(d) then I said to Ann_Marie # whyn't [: why don't] ya have <Ba(tman)> [/] # Batman (in)stead of R… CHI · eng_USA_Brown/sarah119.cha, line 1018 · Sarah 4;07
  1. eng_USA_Brown/sarah119.cha, line 842 · Sarah, 4;7.24
    MOTyou were fightin(g) over Betty ?
    MOTy(ou) mean who was gonna play with Betty ?
    CHI*CHI: Ann_Marie .
    MOTAnn_Marie .
    MOTwell # how did Ann_Marie get into it ?
  2. eng_USA_Brown/sarah119.cha, line 856 · Sarah, 4;7.24
    CHIwell # then she went in the house .
    CHIthen she came out again .
    CHI*CHI: then she played with Ann_Marie .
    MOTDonna ?
    MOTy(ou) mean # mean Betty ?
  3. eng_USA_Brown/sarah119.cha, line 1018 · Sarah, 4;7.24
    CHI(a)n(d) we was all gonna marry him # see ?
    CHIwe was all yellin(g) for <Ba(tman)> [//] # Robin .
    CHI*CHI: (a)n(d) then I said to Ann_Marie # whyn't [: why don't] ya have <Ba(tman)> [/] # Batman (in)stead of Robin .
    CHIRobin's not strong .
    MOToh I see .

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_Brown2.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah119.chaSarah 4;7.241,070332.80

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. ann_marie3 · 100.0%