PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.29 per 1,000 words of the child (CHI), in 1 of 1 transcripts (307 utterances, 1,215 words searched).

  1. (a)n(d) I can make # r@l r@l (a)n(d) a p@l . CHI · eng_USA_Brown/sarah113.cha, line 479
  2. dat [//] dat's how you make dis # a p@l . CHI · eng_USA_Brown/sarah113.cha, line 508
  3. dis is for r@l r@l (a)n(d) dis is for p@l . CHI · eng_USA_Brown/sarah113.cha, line 520
  4. I did # p@l . CHI · eng_USA_Brown/sarah113.cha, line 899
  1. eng_USA_Brown/sarah113.cha, line 479
    CHIup (a)n(d) down # line .
    MELthat's right .
    CHI*CHI: (a)n(d) I can make # r@l r@l (a)n(d) a p@l .
    MELa what (a)n(d) a p@l ?
    CHIr@l # r@l .
  2. eng_USA_Brown/sarah113.cha, line 508
    CHIsee # I +...
    CHIdis how you make one .
    CHI*CHI: dat [//] dat's how you make dis # a p@l .
    MELuhhuh .
    CHI(a)n(d) it only has one leg .
  3. eng_USA_Brown/sarah113.cha, line 520
    CHIbut one goes (a)cross (a)n(d) one goes down .
    GAIthat's for an r@l # huh ?
    CHI*CHI: dis is for r@l r@l (a)n(d) dis is for p@l .
    MELright .
    CHItwo legs have # um # um .
  4. eng_USA_Brown/sarah113.cha, line 899
    MOTno # p@l .
    CHII know how to write # somethin(g) .
    CHI*CHI: I did # p@l .
    MOTa@l .
    CHII did a@l in dere .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown3.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah113.chaSarah 1,215443.29

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. p4 · 100.0%