PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

17.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (82 utterances, 283 words searched).

  1. how are you ? MOT · eng_USA_Bates/tom28.cha, line 96 · Tom 2;04
  2. and how are you ? MOT · eng_USA_Bates/tom28.cha, line 102 · Tom 2;04
  3. how come ? MOT · eng_USA_Bates/tom28.cha, line 122 · Tom 2;04
  4. how come the baby's crying ? MOT · eng_USA_Bates/tom28.cha, line 305 · Tom 2;04
  5. how come you're keeping these people in the garage # Tom ? MOT · eng_USA_Bates/tom28.cha, line 318 · Tom 2;04
  1. eng_USA_Bates/tom28.cha, line 96 · Tom, 2;4.
    CHIxxx .
    MOToh it's so good to see you .
    MOT*MOT: how are you ?
    CHIfine .
    MOTand how are you ?
  2. eng_USA_Bates/tom28.cha, line 102 · Tom, 2;4.
    MOThow are you ?
    CHIfine .
    MOT*MOT: and how are you ?
    CHIfine .
    MOTgood .
  3. eng_USA_Bates/tom28.cha, line 122 · Tom, 2;4.
    CHInothing .
    MOTnothing ?
    MOT*MOT: how come ?
    CHII can't go .
    MOTyou can't go to the store ?
  4. eng_USA_Bates/tom28.cha, line 305 · Tom, 2;4.
    MOTthe baby's crying ?
    MOToh+no .
    MOT*MOT: how come the baby's crying ?
    CHIoh # don't !
    CHII need some [/] some um +...
  5. eng_USA_Bates/tom28.cha, line 318 · Tom, 2;4.
    CHIoh # don't !
    CHII need some [/] some um +...
    MOT*MOT: how come you're keeping these people in the garage # Tom ?
    CHInothing people in garage .
    CHIin garage .

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. Tom eng_USA_Bates17.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/tom28.chaTom 2;4.2835517.67

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. how5 · 100.0%