PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (283 utterances, 1,293 words searched).

  1. now le(t) me see you write it . MOT · eng_USA_Brown/sarah098.cha, line 19 · Sarah 4;02
  2. c(o)me on xxx . MOT · eng_USA_Brown/sarah098.cha, line 165 · Sarah 4;02
  3. well it didn't look like a w@l to me . MOT · eng_USA_Brown/sarah098.cha, line 239 · Sarah 4;02
  4. no # you show me . MOT · eng_USA_Brown/sarah098.cha, line 475 · Sarah 4;02
  5. you tell me . MOT · eng_USA_Brown/sarah098.cha, line 602 · Sarah 4;02
  1. CHIwrite Sa(rah) .
    MOTthere .
    MOT*MOT: now le(t) me see you write it .
    MOTremember # start over here now .
    CHIuhhuh [/] # uhhuh .
  2. MOTif it's so easy how_come you make all the mistakes ?
    MOThmm ?
    MOT*MOT: c(o)me on xxx .
    CHIsee ?
    CHIc@l .
  3. CHIyou know .
    CHIit's a w@l .
    MOT*MOT: well it didn't look like a w@l to me .
    MOTthis is a w@l .
    MOTthat's a w@l .
  4. CHIit's gonna be a mirror .
    CHIknow how to make a mirror ?
    MOT*MOT: no # you show me .
    CHIlike this .
    CHIa door is a mirror # see ?
  5. MOTit still looks like a w@l .
    CHIwhat is this ?
    MOT*MOT: you tell me .
    MOTyou know .
    CHIn@l # w@l .

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_Brown3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah098.chaSarah 4;2.281,293553.87

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. me5 · 100.0%