PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (359 utterances, 1,181 words searched).

  1. come on # you be good now # come on . MOT · eng_USA_Brown/sarah083.cha, line 546 · Sarah 3;10
  2. right now . MOT · eng_USA_Brown/sarah083.cha, line 1219 · Sarah 3;10
  3. don't let Kent now . MOT · eng_USA_Brown/sarah083.cha, line 1458 · Sarah 3;10
  1. eng_USA_Brown/sarah083.cha, line 546 · Sarah, 3;10.30
    CHIxxx get ready anyway for dance school tonight .
    MOTcome on .
    MOT*MOT: come on # you be good now # come on .
    MOTalright you won't go to the pool tomorrow .
    CHIxxx .
  2. eng_USA_Brown/sarah083.cha, line 1219 · Sarah, 3;10.30
    CHIOld_Mac # no .
    CHIOld_MacCuckoo had a hah # e@l i@l e@l i@l o@l . [+ bch]
    MOT*MOT: right now .
    FATgot a bamboo pale .
    CHIhey # hey [/] # I go(t) <an(d)> [/] # an idea .
  3. eng_USA_Brown/sarah083.cha, line 1458 · Sarah, 3;10.30
    MOTwhich hand ?
    MOTit's what you do to me .
    MOT*MOT: don't let Kent now .
    CHIxxx that hard .
    CHIoh .

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_Brown2.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah083.chaSarah 3;10.301,181332.54

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. now3 · 100.0%