PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (244 utterances, 1,148 words searched).

  1. xxx have somethin(g) to say ? MOT · eng_USA_Brown/sarah079.cha, line 42 · Sarah 3;09
  2. did xxx say he had your gun ? MOT · eng_USA_Brown/sarah079.cha, line 54 · Sarah 3;09
  3. all I say is don't do this . MOT · eng_USA_Brown/sarah079.cha, line 93 · Sarah 3;09
  1. eng_USA_Brown/sarah079.cha, line 42 · Sarah, 3;9.26
    CHIso I can't see .
    MOTwhat's the matter ?
    MOT*MOT: xxx have somethin(g) to say ?
    MOTxxx ?
    CHII goin(g) take +...
  2. eng_USA_Brown/sarah079.cha, line 54 · Sarah, 3;9.26
    MOThas he got your gun ?
    CHIyeah .
    MOT*MOT: did xxx say he had your gun ?
    CHIno he didn't see my gun .
    MOThe didn't see your gun ?
  3. eng_USA_Brown/sarah079.cha, line 93 · Sarah, 3;9.26
    MOThuh ?
    CHIno .
    MOT*MOT: all I say is don't do this .
    MOTget your hair off the table .
    MOTdon't do this (a)n(d) don't do that .

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_Brown2.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah079.chaSarah 3;9.261,148332.61

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. say3 · 100.0%