PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (324 utterances, 1,368 words searched).

  1. good morning # Sarah . KEN · eng_USA_Brown/sarah057.cha, line 11 · Sarah 3;04
  2. good Lord she's been up for a long time . MOT · eng_USA_Brown/sarah057.cha, line 61 · Sarah 3;04
  3. you be good first . MOT · eng_USA_Brown/sarah057.cha, line 86 · Sarah 3;04
  4. that's a good cat . KEN · eng_USA_Brown/sarah057.cha, line 518 · Sarah 3;04
  5. I think that's a good idea . MOT · eng_USA_Brown/sarah057.cha, line 1048 · Sarah 3;04
  6. you'll get a good spankin(g) if I catch you sayin(g) that again . MOT · eng_USA_Brown/sarah057.cha, line 1273 · Sarah 3;04
  1. eng_USA_Brown/sarah057.cha, line 11 · Sarah, 3;4.09
    KEN*KEN: good morning # Sarah .
    CHIgoo(d)+mo(r)ning .
    KENwhat's wrong with that finger ?
  2. eng_USA_Brown/sarah057.cha, line 61 · Sarah, 3;4.09
    KENdid you just get up ?
    CHIyeah .
    MOT*MOT: good Lord she's been up for a long time .
    KENwhat time do you usually get up ?
    CHIjus(t) a minute with it .
  3. eng_USA_Brown/sarah057.cha, line 86 · Sarah, 3;4.09
    CHIuh +...
    CHII wan(t) a piece o(f) paper .
    MOT*MOT: you be good first .
    CHIplease +...
    CHI<please # please> [/] # please .
  4. eng_USA_Brown/sarah057.cha, line 518 · Sarah, 3;4.09
    MOTmy dogs don't even look like dogs # standin(g) up or sittin(g) down .
    CHIwill you make a dog ?
    KEN*KEN: that's a good cat .
    KENI don't know how to make a dog .
    CHImake a dog .
  5. eng_USA_Brown/sarah057.cha, line 1048 · Sarah, 3;4.09
    CHIbut # <I don('t)> [//] # I di(d)n't wanna .
    CHII di(d)n't wanna # Mommy .
    MOT*MOT: I think that's a good idea .
    MOThuh ?
    CHIuh # no !
  6. eng_USA_Brown/sarah057.cha, line 1273 · Sarah, 3;4.09
    CHII hate Go:d .
    MOTyeah .
    MOT*MOT: you'll get a good spankin(g) if I catch you sayin(g) that again .
    CHIChristmas ca(r)ds .
    MOTwhat +...

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_Brown4.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah057.chaSarah 3;4.091,368664.39

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. good6 · 100.0%