PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. want to make a cat ? MOT · eng_USA_Brown/sarah057.cha, line 457 · Sarah 3;04
  2. I can make a cat . MOT · eng_USA_Brown/sarah057.cha, line 459 · Sarah 3;04
  3. that looks more like a cat than xxx looks like a dog . MOT · eng_USA_Brown/sarah057.cha, line 469 · Sarah 3;04
  4. that's a good cat . KEN · eng_USA_Brown/sarah057.cha, line 518 · Sarah 3;04
  5. can you make a cat ? KEN · eng_USA_Brown/sarah057.cha, line 764 · Sarah 3;04
  1. CHIstan(d)in(g) like that +...
    CHIno .
    MOT*MOT: want to make a cat ?
    MOTI can make a cat .
    MOTsee ?
  2. CHIno .
    MOTwant to make a cat ?
    MOT*MOT: I can make a cat .
    MOTsee ?
    MOTmmhm .
  3. CHIthat's not a cat .
    MOToh .
    MOT*MOT: that looks more like a cat than xxx looks like a dog .
    MOThow's that ?
    CHIno wake a .
  4. MOTmy dogs don't even look like dogs # standin(g) up or sittin(g) down .
    CHIwill you make a dog ?
    KEN*KEN: that's a good cat .
    KENI don't know how to make a dog .
    CHImake a dog .
  5. CHIow [?] .
    CHIh(ey) you wan(t) make a dog .
    KEN*KEN: can you make a cat ?
    CHIyeah .
    CHIright here .

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_Brown3.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah057.chaSarah 3;4.091,368553.65

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. cat5 · 100.0%