PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. mmhm . GAI · eng_USA_Brown/sarah100.cha, line 913 · Sarah 4;03
  2. mmhm . GAI · eng_USA_Brown/sarah100.cha, line 922 · Sarah 4;03
  3. mmhm # mirror images . GAI · eng_USA_Brown/sarah100.cha, line 943 · Sarah 4;03
  4. mmhm . MEL · eng_USA_Brown/sarah100.cha, line 945 · Sarah 4;03
  5. mmhm . MOT · eng_USA_Brown/sarah100.cha, line 1035 · Sarah 4;03
  6. mmhm . GAI · eng_USA_Brown/sarah100.cha, line 1256 · Sarah 4;03
  1. MOTinstead of makin(g) a c@l this way # she makes a c@l this way .
    MOTwhen she goes to make an a@l # she don't go down # she goes up # and down .
    GAI*GAI: mmhm .
    MOTwhen she makes a t@l # she starts +...
    MOTto make a t@l # she don't make a t@l like that .
  2. MOTto make a t@l # she don't make a t@l like that .
    MOTshe makes a t@l like this .
    GAI*GAI: mmhm .
    MOTeverything she does # she starts from the bottom and works up .
    GAIas long as she gets there .
  3. MOTy(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 ?
    GAI*GAI: mmhm # mirror images .
    MELmmhm .
    CHIso what you can't +...
  4. MELoh # ya mean they reverse like a b@l they would do this way instead of of this way ?
    GAImmhm # mirror images .
    MEL*MEL: mmhm .
    CHIso what you can't +...
    MOToh .
  5. CHIwell # let's try it this way .
    CHIthat's the way ya do it # huh ?
    MOT*MOT: mmhm .
    CHIya can cut with this scissor(s) .
    CHIyou end up throwin(g) em out # huh ?
  6. MOTyeah # your father's maid too I guess # huh ?
    CHIno # you go like that when you make a flower .
    GAI*GAI: mmhm .
    CHIwhen ya make +...
    CHInow you do it .

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;3.131,699663.53

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. mmhm6 · 100.0%