PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

8.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (189 utterances, 571 words searched).

  1. Santa_Claus . MOT · eng_USA_Brown/sarah015.cha, line 1205 · Sarah 2;05
  2. do you like Santa_Claus ? MOT · eng_USA_Brown/sarah015.cha, line 1211 · Sarah 2;05
  3. xxx # yeah # Santa_Claus brought you Tickles # yeah . MOT · eng_USA_Brown/sarah015.cha, line 1220 · Sarah 2;05
  4. xxx that's another Santa_Claus . MOT · eng_USA_Brown/sarah015.cha, line 1225 · Sarah 2;05
  5. what's Santa_Claus doing # Sarah ? COU · eng_USA_Brown/sarah015.cha, line 1230 · Sarah 2;05
  1. MOThmm ?
    CHI0 .
    MOT*MOT: Santa_Claus .
    CHIhey dere .
    GLOxxx .
  2. CHIhey dere .
    GLOxxx .
    MOT*MOT: do you like Santa_Claus ?
    CHISanta_Claus .
    MOThmm ?
  3. MOThmm ?
    CHITickle .
    MOT*MOT: xxx # yeah # Santa_Claus brought you Tickles # yeah .
    CHIxxx .
    MOTxxx that's another Santa_Claus .
  4. MOTxxx # yeah # Santa_Claus brought you Tickles # yeah .
    CHIxxx .
    MOT*MOT: xxx that's another Santa_Claus .
    CHIxxx .
    COUwhat's Santa_Claus doing # Sarah ?
  5. MOTxxx that's another Santa_Claus .
    CHIxxx .
    COU*COU: what's Santa_Claus doing # Sarah ?
    CHIhe [/] he ride bi(cy)cle .
    MOThe rides a bicycle .

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_Brown8.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah015.chaSarah 2;5.30571558.76

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. santa_claus5 · 100.0%