PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,466 words searched).

  1. +" have you seen the cat xxx . ANN · eng_USA_Brown/sarah097.cha, line 362 · Sarah 4;02
  2. oh I saw a cat that big . ANN · eng_USA_Brown/sarah097.cha, line 364 · Sarah 4;02
  3. did your mother ask you about the cat today ? MOT · eng_USA_Brown/sarah097.cha, line 366 · Sarah 4;02
  1. eng_USA_Brown/sarah097.cha, line 362 · Sarah, 4;2.23
    MOTwhat ?
    ANNtoday my mother asked me # +"/.
    ANN*ANN: +" have you seen the cat xxx .
    ANNoh I saw a cat that big .
    MOTdid your mother ask you about the cat today ?
  2. eng_USA_Brown/sarah097.cha, line 364 · Sarah, 4;2.23
    ANNtoday my mother asked me # +"/.
    ANN+" have you seen the cat xxx .
    ANN*ANN: oh I saw a cat that big .
    MOTdid your mother ask you about the cat today ?
    ANNyeah .
  3. eng_USA_Brown/sarah097.cha, line 366 · Sarah, 4;2.23
    ANN+" have you seen the cat xxx .
    ANNoh I saw a cat that big .
    MOT*MOT: did your mother ask you about the cat today ?
    ANNyeah .
    CHIhe likes me .

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_Brown2.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah097.chaSarah 4;2.231,466332.05

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. cat3 · 100.0%