PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (280 utterances, 1,198 words searched).

  1. aah # it's like p@l except it's looking the wrong way . GAI · eng_USA_Brown/sarah106.cha, line 689 · Sarah 4;04
  2. p@l looks this way . GAI · eng_USA_Brown/sarah106.cha, line 692 · Sarah 4;04
  3. yeah # (be)cause if it's gonna be a p@l it's got ta go that way . MEL · eng_USA_Brown/sarah106.cha, line 1248 · Sarah 4;04
  1. eng_USA_Brown/sarah106.cha, line 689 · Sarah, 4;4.25
    GAIis that a b@l ?
    CHIno # a # p@l # p@l # b@l .
    GAI*GAI: aah # it's like p@l except it's looking the wrong way .
    GAIp@l looks this way .
    CHIoh .
  2. eng_USA_Brown/sarah106.cha, line 692 · Sarah, 4;4.25
    CHIno # a # p@l # p@l # b@l .
    GAIaah # it's like p@l except it's looking the wrong way .
    GAI*GAI: p@l looks this way .
    CHIoh .
    CHIdown +...
  3. eng_USA_Brown/sarah106.cha, line 1248 · Sarah, 4;4.25
    MELthat's a nine .
    CHIno sir .
    MEL*MEL: yeah # (be)cause if it's gonna be a p@l it's got ta go that way .
    CHIuhuh .
    MELuhhuh .

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_Brown2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah106.chaSarah 4;4.251,198332.50

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. p3 · 100.0%