PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (438 utterances, 1,507 words searched).

  1. ok ? MOT · eng_USA_Brown/sarah059.cha, line 84 · Sarah 3;04
  2. ok ? MOT · eng_USA_Brown/sarah059.cha, line 724 · Sarah 3;04
  3. ok . MOT · eng_USA_Brown/sarah059.cha, line 729 · Sarah 3;04
  4. ok ? MOT · eng_USA_Brown/sarah059.cha, line 741 · Sarah 3;04
  1. eng_USA_Brown/sarah059.cha, line 84 · Sarah, 3;4.26
    MOToh # we'll have to get it today .
    MOTwe'll get it after dancin(g) school .
    MOT*MOT: ok ?
    CHIyep .
    CHIyou saw Santa_Claus today # <down squa(re)> [/] down square .
  2. eng_USA_Brown/sarah059.cha, line 724 · Sarah, 3;4.26
    MOTtomorrow we'll go ta Waltham to see Santa_Claus .
    MOTyou # with me (a)n(d) Daddy .
    MOT*MOT: ok ?
    CHIalright .
    MOTok .
  3. eng_USA_Brown/sarah059.cha, line 729 · Sarah, 3;4.26
    MOTok ?
    CHIalright .
    MOT*MOT: ok .
    MOTwe'll get all dressed up pretty .
    MOThuh ?
  4. eng_USA_Brown/sarah059.cha, line 741 · Sarah, 3;4.26
    MOTso you can have your picture taken with Santa_Claus (a)n(d) you can tell him what you want .
    MOToh # lots of things .
    MOT*MOT: ok ?
    MOThuh ?
    CHIyes .

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_Brown2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah059.chaSarah 3;4.261,507442.65

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. ok4 · 100.0%