PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. oh Courtney . MOT · eng_USA_Brown/sarah060.cha, line 1484 · Sarah 3;05
  2. what about Courtney ? MOT · eng_USA_Brown/sarah060.cha, line 1486 · Sarah 3;05
  3. what about Courtney ? MOT · eng_USA_Brown/sarah060.cha, line 1488 · Sarah 3;05
  4. say merry Christmas to Courtney . MOT · eng_USA_Brown/sarah060.cha, line 1495 · Sarah 3;05
  5. do you see Courtney at all ? MOT · eng_USA_Brown/sarah060.cha, line 1503 · Sarah 3;05
  1. MOTProfessor_Brown .
    CHI(Pro)fessor_Brown .
    MOT*MOT: oh Courtney .
    MOTwhat about Courtney ?
    MOTwhat about Courtney ?
  2. CHI(Pro)fessor_Brown .
    MOToh Courtney .
    MOT*MOT: what about Courtney ?
    MOTwhat about Courtney ?
    MOTdon't touch that button .
  3. MOToh Courtney .
    MOTwhat about Courtney ?
    MOT*MOT: what about Courtney ?
    MOTdon't touch that button .
    CHIwhat button ?
  4. MOTdon't touch that button .
    CHIwhat button ?
    MOT*MOT: say merry Christmas to Courtney .
    CHIthat button ?
    MOTyeah .
  5. MOTyeah .
    CHImerry Christmas to uh # Courtney .
    MOT*MOT: do you see Courtney at all ?
    KENmmhm .
    KENmaybe once a week .

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_Brown2.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah060.chaSarah 3;5.011,921552.60

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. courtney5 · 100.0%