PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (255 utterances, 1,054 words searched).

  1. did you ever make a snowman ? MEL · eng_USA_Brown/sarah120.cha, line 482 · Sarah 4;08
  2. <Esther tells us that> [//] Roger Brown's secretary tells us all we ever seem to do is sit around and drink tea . MEL · eng_USA_Brown/sarah120.cha, line 493 · Sarah 4;08
  3. I don't think you'll ever learn . MOT · eng_USA_Brown/sarah120.cha, line 1044 · Sarah 4;08
  1. MELdoes that one ?
    CHInope .
    MEL*MEL: did you ever make a snowman ?
    CHIonce we did # with a big head # about this high .
    MOTwatch the scissors .
  2. MOTwatch the scissors .
    MOTwant a cup a tea # now that everything calmed down ?
    MEL*MEL: <Esther tells us that> [//] Roger Brown's secretary tells us all we ever seem to do is sit around and drink tea .
    CHIdat's de <mean old> [/] # mean old witch .
    CHIdat's not a real one .
  3. MOTwhen are you gonna learn ?
    CHII don't know .
    MOT*MOT: I don't think you'll ever learn .
    CHIthere .
    MOThuh ?

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_Brown2.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah120.chaSarah 4;8.071,054332.85

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. ever3 · 100.0%