PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,422 words searched).

  1. thank+you Kent . GLO · eng_USA_Brown/sarah045.cha, line 31 · Sarah 3;01
  2. Kent # that's right . MOT · eng_USA_Brown/sarah045.cha, line 1173 · Sarah 3;01
  3. that's right # that's Kent . GLO · eng_USA_Brown/sarah045.cha, line 1178 · Sarah 3;01
  4. I told her that Gloria and Kent were coming and she was goin(g) around here playin(g) . MOT · eng_USA_Brown/sarah045.cha, line 1183 · Sarah 3;01
  5. I said Kent . MOT · eng_USA_Brown/sarah045.cha, line 1190 · Sarah 3;01
  6. come on # sit down Kent # you don't have to stand up for me . COU · eng_USA_Brown/sarah045.cha, line 1280 · Sarah 3;01
  1. GLOoh I'll get it for ya .
    CHI0 .
    GLO*GLO: thank+you Kent .
    GLOyou read the story to me .
    GLOwhat's that noise ?
  2. CHIKent huh ?
    CHIKenny .
    MOT*MOT: Kent # that's right .
    KENuh .
    GLOthat's right # that's Kent .
  3. MOTKent # that's right .
    KENuh .
    GLO*GLO: that's right # that's Kent .
    MOTshe had trouble with that this morning .
    MOTI told her that Gloria and Kent were coming and she was goin(g) around here playin(g) .
  4. GLOthat's right # that's Kent .
    MOTshe had trouble with that this morning .
    MOT*MOT: I told her that Gloria and Kent were coming and she was goin(g) around here playin(g) .
    MOTshe says to me # what's his name again ?
    MOTI said Kent .
  5. MOTI told her that Gloria and Kent were coming and she was goin(g) around here playin(g) .
    MOTshe says to me # what's his name again ?
    MOT*MOT: I said Kent .
    MOT+" oh # I think Kenny .
    MOTshe has a friend name Kenny down at the beach # (be)cause she xxx callin(g) you Kenny .
  6. CHIxxx .
    MOTsay # oopsie .
    COU*COU: come on # sit down Kent # you don't have to stand up for me .
    MOTwhat is that Sarah ?
    MOTI've never seen that before .

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_Brown4.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah045.chaSarah 3;1.171,422664.22

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. kent6 · 100.0%