PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (503 utterances, 1,934 words searched).

  1. just milk now . MOT · eng_USA_Brown/eve09.cha, line 250 · Eve 1;10
  2. it's almost time for lunch # and you can have some milk . MOT · eng_USA_Brown/eve09.cha, line 768 · Eve 1;10
  3. we'll have milk for lunch . MOT · eng_USA_Brown/eve09.cha, line 795 · Eve 1;10
  4. we have more milk . MOT · eng_USA_Brown/eve09.cha, line 1885 · Eve 1;10
  5. we have more milk . MOT · eng_USA_Brown/eve09.cha, line 1888 · Eve 1;10
  1. MOTwell not cereal now .
    MOTshe had cereal for breakfast .
    MOT*MOT: just milk now .
    CHIMommy have milk .
    MOTwhat ?
  2. CHImy pencil .
    CHIMom # more grape juice .
    MOT*MOT: it's almost time for lunch # and you can have some milk .
    CHImore grape juice .
    CHImore grape juice .
  3. MOTno # grape juice .
    CHImore grape juice .
    MOT*MOT: we'll have milk for lunch .
    CHIhave ta(pioca) [/] tapioca .
    MOTthere isn't any tapioca .
  4. MOThave to buy more what ?
    CHImilk .
    MOT*MOT: we have more milk .
    MOTwe have more milk .
    MOTwe don't have to buy any .
  5. CHImilk .
    MOTwe have more milk .
    MOT*MOT: we have more milk .
    MOTwe don't have to buy any .
    MOTare you going to eat your cheese sandwich ?

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. Eve eng_USA_Brown2.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve09.chaEve 1;10.1,934552.59

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. milk5 · 100.0%