PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.35 per 1,000 words of the child (CHI), in 1 of 1 transcripts (295 utterances, 896 words searched).

  1. I just had coffee . CHI · eng_USA_Brown/sarah085.cha, line 217 · Sarah 3;11
  2. (a)n(d) she had to go # dancing school # yesterday . CHI · eng_USA_Brown/sarah085.cha, line 1248 · Sarah 3;11
  3. (a)n(d) I had eggs # same thing . CHI · eng_USA_Brown/sarah085.cha, line 1446 · Sarah 3;11
  1. eng_USA_Brown/sarah085.cha, line 217 · Sarah, 3;11.16
    MELthank+you .
    CHII want coffee .
    CHI*CHI: I just had coffee .
    MELyou just +...
    CHI<tea # tea> [/] # tea or coffee .
  2. eng_USA_Brown/sarah085.cha, line 1248 · Sarah, 3;11.16
    MOToh yeah # in the # tub downstairs broken (a)n(d) Jo_Anne had to come here (a)n(d) take her bath .
    MOTyeah .
    CHI*CHI: (a)n(d) she had to go # dancing school # yesterday .
    CHIremember # in the car ?
    MOTyou know what ?
  3. eng_USA_Brown/sarah085.cha, line 1446 · Sarah, 3;11.16
    CHIuh # yeah .
    MOTxxx .
    CHI*CHI: (a)n(d) I had eggs # same thing .
    CHIuh # I get the same thing .
    CHII have +...

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown3.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah085.chaSarah 3;11.16896333.35

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. had3 · 100.0%