PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (547 utterances, 2,679 words searched).

  1. hello # Peter . MOT · eng_USA_Brown/adam43.cha, line 2718 · Adam 4;01
  2. hello # Peter . MOT · eng_USA_Brown/adam43.cha, line 2727 · Adam 4;01
  3. well # then you have to say hello # Peter . MOT · eng_USA_Brown/adam43.cha, line 2731 · Adam 4;01
  4. hello # Peter . MOT · eng_USA_Brown/adam43.cha, line 2747 · Adam 4;01
  5. if I'm Peter # you're Joe . MOT · eng_USA_Brown/adam43.cha, line 2754 · Adam 4;01
  6. Peter . MOT · eng_USA_Brown/adam43.cha, line 2767 · Adam 4;01
  7. thank you # Peter . MOT · eng_USA_Brown/adam43.cha, line 2933 · Adam 4;01
  1. eng_USA_Brown/adam43.cha, line 2718 · Adam, 4;1.15
    MOTthey're just driving along .
    CHIhi # Joe .
    MOT*MOT: hello # Peter .
    CHIno # Mommy # you Peter and I'm [=? I] Joe .
    CHIhi # Joe Mom .
  2. eng_USA_Brown/adam43.cha, line 2727 · Adam, 4;1.15
    CHIhi # Joe Mom .
    CHIhi # Joe .
    MOT*MOT: hello # Peter .
    CHIno # you Peter .
    MOTwell # then you have to say hello # Peter .
  3. eng_USA_Brown/adam43.cha, line 2731 · Adam, 4;1.15
    MOThello # Peter .
    CHIno # you Peter .
    MOT*MOT: well # then you have to say hello # Peter .
    CHIhello # Peter .
    MOThello # Joe .
  4. eng_USA_Brown/adam43.cha, line 2747 · Adam, 4;1.15
    CHIdis my sixty four car .
    CHIhi # Joe .
    MOT*MOT: hello # Peter .
    CHIno # you Peter .
    MOTwell # you have to say hello # Joe then .
  5. eng_USA_Brown/adam43.cha, line 2754 · Adam, 4;1.15
    CHIno # you Peter .
    MOTwell # you have to say hello # Joe then .
    MOT*MOT: if I'm Peter # you're Joe .
    MOTis that right ?
    CHIyes .
  6. eng_USA_Brown/adam43.cha, line 2767 · Adam, 4;1.15
    MOTwell then I'll say hello Joe and you say hello +...
    CHI+, Peter .
    MOT*MOT: Peter .
    MOTthat's right .
    CHIhello # Peter .
  7. eng_USA_Brown/adam43.cha, line 2933 · Adam, 4;1.15
    MOTwhat is that ?
    CHIdat's yours # Joe .
    MOT*MOT: thank you # Peter .
    CHIno # you Peter and I Joe .
    CHIthank you # Pete # thank you # Joe .

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. Adam eng_USA_Brown2.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam43.chaAdam 4;1.152,679772.61

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. peter7 · 100.0%