PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (318 utterances, 1,519 words searched).

  1. now when # don't you want to have curls for this afternoon ? MOT · eng_USA_Brown/sarah091.cha, line 161 · Sarah 4;01
  2. what do you want a comb for ? MOT · eng_USA_Brown/sarah091.cha, line 553 · Sarah 4;01
  3. for a change ? MOT · eng_USA_Brown/sarah091.cha, line 854 · Sarah 4;01
  4. I got news for you . MOT · eng_USA_Brown/sarah091.cha, line 858 · Sarah 4;01
  1. eng_USA_Brown/sarah091.cha, line 161 · Sarah, 4;1.11
    MOThuh ?
    CHIno # not this time .
    MOT*MOT: now when # don't you want to have curls for this afternoon ?
    CHIyeah .
    MOThuh ?
  2. eng_USA_Brown/sarah091.cha, line 553 · Sarah, 4;1.11
    CHII said xxx comb .
    MOTI got a comb right here .
    MOT*MOT: what do you want a comb for ?
    CHI(be)cause .
    MELhow_come xxx .
  3. eng_USA_Brown/sarah091.cha, line 854 · Sarah, 4;1.11
    CHIxxx .
    CHII cut his hair # for a change .
    MOT*MOT: for a change ?
    CHIyup .
    MOTI got news for you .
  4. eng_USA_Brown/sarah091.cha, line 858 · Sarah, 4;1.11
    MOTfor a change ?
    CHIyup .
    MOT*MOT: I got news for you .
    MOTit doesn't grow back now .
    MELI had a teddy+bear when I was a little girl and I just loved him and I'd give it .

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_Brown2.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah091.chaSarah 4;1.111,519442.63

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. for4 · 100.0%