PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

7.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,280 words searched).

  1. and he's riding on his horsie . FAT · eng_USA_Brown/sarah010.cha, line 458 · Sarah 2;04
  2. and a chimney . FAT · eng_USA_Brown/sarah010.cha, line 575 · Sarah 2;04
  3. and a new coat ? FAT · eng_USA_Brown/sarah010.cha, line 1006 · Sarah 2;04
  4. you tell Daddy to fix the old iron # and save lots of money . MOT · eng_USA_Brown/sarah010.cha, line 1291 · Sarah 2;04
  5. and down we go . MOT · eng_USA_Brown/sarah010.cha, line 1643 · Sarah 2;04
  6. and up we go . MOT · eng_USA_Brown/sarah010.cha, line 1646 · Sarah 2;04
  7. and down we go . MOT · eng_USA_Brown/sarah010.cha, line 1649 · Sarah 2;04
  8. you got a red ribbon # and I got a pink ribbon . MOT · eng_USA_Brown/sarah010.cha, line 1729 · Sarah 2;04
  9. and bread ? MOT · eng_USA_Brown/sarah010.cha, line 1865 · Sarah 2;04
  1. FATa bird .
    CHIxxx bird .
    FAT*FAT: and he's riding on his horsie .
    CHIride horsie .
    CHII ride horsie .
  2. CHIhouse .
    FAThouse .
    FAT*FAT: and a chimney .
    CHIchimney ?
    FATno # chimney ?
  3. CHITickle .
    FATTickles ?
    FAT*FAT: and a new coat ?
    CHInew coat .
    CHIxxx .
  4. CHInew iron .
    FATfor Christmas .
    MOT*MOT: you tell Daddy to fix the old iron # and save lots of money .
    CHImo(ne)y .
    CHIxxx .
  5. MOTput your head up .
    MOTthere we go .
    MOT*MOT: and down we go .
    MOTand up we go .
    MOTand down we go .
  6. MOTthere we go .
    MOTand down we go .
    MOT*MOT: and up we go .
    MOTand down we go .
    MOTok ?
  7. MOTand down we go .
    MOTand up we go .
    MOT*MOT: and down we go .
    MOTok ?
    CHIxxx me .
  8. GLOyou have a ribbon here .
    MOTsee # look at your ribbon .
    MOT*MOT: you got a red ribbon # and I got a pink ribbon .
    CHIxxx .
    MOTlook at this big ribbon you have .
  9. MOTwant peanut butter ?
    MOTthat's what you want is peanut butter .
    MOT*MOT: and bread ?
    CHIxxx yyy me .
    CHIxxx .

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_Brown7.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah010.chaSarah 2;4.191,280997.03

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.

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