PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (318 utterances, 1,477 words searched).

  1. if you wanna make a b@l # you put another circle on # see ? MOT · eng_USA_Brown/sarah094.cha, line 1094 · Sarah 4;02
  2. that's a p@l # and that's a b@l . MOT · eng_USA_Brown/sarah094.cha, line 1101 · Sarah 4;02
  3. b@l . MOT · eng_USA_Brown/sarah094.cha, line 1120 · Sarah 4;02
  4. yeah # it looks like a real b@l . MOT · eng_USA_Brown/sarah094.cha, line 1126 · Sarah 4;02
  1. CHIthat a p@l ?
    MOTyeah # that's very good .
    MOT*MOT: if you wanna make a b@l # you put another circle on # see ?
    CHIthat a +...
    MOTput a line down # so .
  2. CHIthat a +...
    MOTput a line down # so .
    MOT*MOT: that's a p@l # and that's a b@l .
    CHII put a circle on .
    CHIthat a p@l .
  3. MOTno go this way .
    CHIthat's a p@l # I mean that's d@l .
    MOT*MOT: b@l .
    CHIa b@l .
    CHIlooks like a real b@l # huh ?
  4. CHIa b@l .
    CHIlooks like a real b@l # huh ?
    MOT*MOT: yeah # it looks like a real b@l .
    CHIthere no g@l in here .
    FATmake an i@l .

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_Brown2.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah094.chaSarah 4;2.011,477442.71

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. b4 · 100.0%