PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (484 utterances, 1,888 words searched).

  1. h@l e@l . RIC · eng_USA_Brown/adam32.cha, line 2130 · Adam 3;06
  2. me # said t@l v@l e@l i@l l@l . RIC · eng_USA_Brown/adam32.cha, line 2140 · Adam 3;06
  3. d@l a@l l@l e@l . MOT · eng_USA_Brown/adam32.cha, line 2157 · Adam 3;06
  4. that's h@l e@l # he . MOT · eng_USA_Brown/adam32.cha, line 2195 · Adam 3;06
  1. CHIwe have two and I have eight .
    MOTd(o) you [: do you] know what that is ?
    RIC*RIC: h@l e@l .
    MOTno # d(o) you [: do you] know what this spells ?
    CHImine says b@l m@l i@l x@l t@l .
  2. MOTmine says p@l a@l u@l l@l .
    MOTwhat does that spell ?
    RIC*RIC: me # said t@l v@l e@l i@l l@l .
    MOTwhat does that spell ?
    RICp@l u@l i@l m@l o@l .
  3. MOTthat's Paul's name .
    MOTlet's see if I can find enough letters to spell your name .
    MOT*MOT: d@l a@l l@l e@l .
    MOTthat's your name .
    CHII goin(g) to spell my name by myself .
  4. MOTthis is another word # Adam .
    CHIwhat ?
    MOT*MOT: that's h@l e@l # he .
    MOThere's another word .
    CHIme 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. Adam eng_USA_Brown2.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam32.chaAdam 3;6.091,888442.12

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. e4 · 100.0%