PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

3.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,699 words searched).

  1. you can tell she comes from California . MOT · eng_USA_Brown/sarah100.cha, line 377 · Sarah 4;03
  2. everyone I've ever known from California never uses milk . MOT · eng_USA_Brown/sarah100.cha, line 388 · Sarah 4;03
  3. does it look like it comes from Ohio ? MOT · eng_USA_Brown/sarah100.cha, line 717 · Sarah 4;03
  4. everything she does # she starts from the bottom and works up . MOT · eng_USA_Brown/sarah100.cha, line 924 · Sarah 4;03
  5. y(ou) know <from right> [/] # from right to left instead of left to right . MOT · eng_USA_Brown/sarah100.cha, line 936 · Sarah 4;03
  6. y(ou) know <from right> [/] # from right to left instead of left to right . MOT · eng_USA_Brown/sarah100.cha, line 936 · Sarah 4;03
  1. CHIdo you use milk or no ?
    GAIno .
    MOT*MOT: you can tell she comes from California .
    CHIdo you use sugar or no ?
    GAIno .
  2. CHIdo you use # uh .
    MELwhy ?
    MOT*MOT: everyone I've ever known from California never uses milk .
    MELoh # that's interesting .
    MOTeven my cousin .
  3. CHIdere's a lot o(f) blues .
    CHIred .
    MOT*MOT: does it look like it comes from Ohio ?
    CHIlet's do some down here because it won't fit .
    CHInow lets +...
  4. MOTshe makes a t@l like this .
    GAImmhm .
    MOT*MOT: everything she does # she starts from the bottom and works up .
    GAIas long as she gets there .
    MOTyeah .
  5. GAIa lot of children when they how to write and read # <reverse things> [//] # reverse letters .
    MOTshe was startin(g) to write this way .
    MOT*MOT: y(ou) know <from right> [/] # from right to left instead of left to right .
    MELoh # ya mean they reverse like a b@l they would do this way instead of of this way ?
    GAImmhm # mirror images .

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_Brown3.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah100.chaSarah 4;3.131,699563.53

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. from6 · 100.0%