PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (324 utterances, 1,368 words searched).

  1. doesn't that look like a dog ? MOT · eng_USA_Brown/sarah057.cha, line 442 · Sarah 3;04
  2. my dogs don't even look like dogs # standin(g) up or sittin(g) down . MOT · eng_USA_Brown/sarah057.cha, line 512 · Sarah 3;04
  3. wh(a)t do cats look like ? KEN · eng_USA_Brown/sarah057.cha, line 778 · Sarah 3;04
  4. can you tell me what cats look like ? KEN · eng_USA_Brown/sarah057.cha, line 780 · Sarah 3;04
  1. CHIhuh .
    CHI<that's no(t)> [/] that's not Chantilly .
    MOT*MOT: doesn't that look like a dog ?
    CHIhunm .
    MOTxxx .
  2. MOTask Kent to make you a dog .
    MOTI don't know how to make a dog .
    MOT*MOT: my dogs don't even look like dogs # standin(g) up or sittin(g) down .
    CHIwill you make a dog ?
    KENthat's a good cat .
  3. CHIdere .
    CHIright dere .
    KEN*KEN: wh(a)t do cats look like ?
    KENcan you tell me what cats look like ?
    CHIuh +...
  4. CHIright dere .
    KENwh(a)t do cats look like ?
    KEN*KEN: can you tell me what cats look like ?
    CHIuh +...
    KENare they big and tall ?

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_Brown2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah057.chaSarah 3;4.091,368442.92

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. look4 · 100.0%