PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (319 utterances, 1,095 words searched).

  1. no # I don't wanna swim . MOT · eng_USA_Brown/sarah036.cha, line 561 · Sarah 2;11
  2. I don't wanna get all wet . MOT · eng_USA_Brown/sarah036.cha, line 916 · Sarah 2;11
  3. you wanna bath+tub # you're in the bath+tub . MOT · eng_USA_Brown/sarah036.cha, line 1069 · Sarah 2;11
  4. wanna get back in while I wash you off ? MOT · eng_USA_Brown/sarah036.cha, line 1090 · Sarah 2;11
  1. CHIdo(n't) like # go wet # swim ?
    CHIxxx you want # you xxx swim ?
    MOT*MOT: no # I don't wanna swim .
    CHIno ?
    MOTno .
  2. CHIwhy ?
    MOTbecause I'm not in the bath+tub # that's why .
    MOT*MOT: I don't wanna get all wet .
    MOTdo you know that ?
    CHIeat water ?
  3. CHIbath+tub .
    COUwww .
    MOT*MOT: you wanna bath+tub # you're in the bath+tub .
    MOTwait'll I get another face cloth .
    CHII come out myself .
  4. MOTwhere's the soap ?
    CHIyeah .
    MOT*MOT: wanna get back in while I wash you off ?
    MOTit's easier .
    CHIno .

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/sarah036.chaSarah 2;11.021,095443.65

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. wanna4 · 100.0%