PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (265 utterances, 956 words searched).

  1. look # in an apple ? FAT · eng_USA_Brown/sarah089.cha, line 822 · Sarah 4;00
  2. xxx all four of them would've gone in . MOT · eng_USA_Brown/sarah089.cha, line 993 · Sarah 4;00
  3. keep your xxx in front . MOT · eng_USA_Brown/sarah089.cha, line 1050 · Sarah 4;00
  4. don't fall in the machine . MOT · eng_USA_Brown/sarah089.cha, line 1131 · Sarah 4;00
  1. eng_USA_Brown/sarah089.cha, line 822 · Sarah, 4;0.28
    CHIsee ?
    CHIthat's a playground apple .
    FAT*FAT: look # in an apple ?
    CHIa playground apple .
    FATa playground apple .
  2. eng_USA_Brown/sarah089.cha, line 993 · Sarah, 4;0.28
    MOTsee Tommy +...
    MOTwe think that Tommy must've wandered down just before these two .
    MOT*MOT: xxx all four of them would've gone in .
    FATyeah .
    CHIno # Robin goed@n .
  3. eng_USA_Brown/sarah089.cha, line 1050 · Sarah, 4;0.28
    FATcan't hear a word you're saying .
    FATtry again .
    MOT*MOT: keep your xxx in front .
    CHIyyy it .
    CHIat that end .
  4. eng_USA_Brown/sarah089.cha, line 1131 · Sarah, 4;0.28
    CHI0 .
    FATwhoop .
    MOT*MOT: don't fall in the machine .
    CHIhey # I'm doin(g) +...
    CHIis that yellow ?

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_Brown4.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah089.chaSarah 4;0.28956444.18

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. in4 · 100.0%