PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

3.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (420 utterances, 1,921 words searched).

  1. <I was waitin(g)> [//] # I was sittin(g) on the bus then . MOT · eng_USA_Brown/sarah060.cha, line 21 · Sarah 3;05
  2. one or the other # then ya wouldn't be +... MOT · eng_USA_Brown/sarah060.cha, line 672 · Sarah 3;05
  3. and then I'm going to go and talk to Santa_Claus . KEN · eng_USA_Brown/sarah060.cha, line 1266 · Sarah 3;05
  4. then . MOT · eng_USA_Brown/sarah060.cha, line 1316 · Sarah 3;05
  5. then [/] # then Santa_Claus can't hear you . MOT · eng_USA_Brown/sarah060.cha, line 1381 · Sarah 3;05
  6. then [/] # then Santa_Claus can't hear you . MOT · eng_USA_Brown/sarah060.cha, line 1381 · Sarah 3;05
  1. eng_USA_Brown/sarah060.cha, line 21 · Sarah, 3;5.01
    KENI got here # ten after ten .
    MOToh .
    MOT*MOT: <I was waitin(g)> [//] # I was sittin(g) on the bus then .
    MOTI didn't know whether to get off and take a cab or wait a minute until the bus driver came .
    CHIuh .
  2. eng_USA_Brown/sarah060.cha, line 672 · Sarah, 3;5.01
    MOTwish ya were two years older .
    MOTor two years younger .
    MOT*MOT: one or the other # then ya wouldn't be +...
    MOTif ya were two years younger # wouldn't be gettin(g) into mischief .
    MOTand if ya were two years older you could help .
  3. eng_USA_Brown/sarah060.cha, line 1266 · Sarah, 3;5.01
    KENno .
    KENbut I'm going to listen to what you say .
    KEN*KEN: and then I'm going to go and talk to Santa_Claus .
    CHIthat Santa_Claus in there .
    CHISanta_Claus .
  4. eng_USA_Brown/sarah060.cha, line 1316 · Sarah, 3;5.01
    MOTsing +"/.
    MOT+" Jingle Bells .
    MOT*MOT: then .
    CHIwhy ?
    MOTtomorrow's Christmas .
  5. eng_USA_Brown/sarah060.cha, line 1381 · Sarah, 3;5.01
    MOTdon't push the button .
    MOTdon't push the button .
    MOT*MOT: then [/] # then Santa_Claus can't hear you .
    MOTtell Santa_Claus what you want .
    CHI<Santa_Claus> [/] # Santa_Claus # he don't hear me .

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_Brown3.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah060.chaSarah 3;5.011,921563.12

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. then6 · 100.0%