PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (261 utterances, 963 words searched).

  1. she has ribbon (a)round her neck # yeah . MOT · eng_USA_Brown/sarah013.cha, line 803 · Sarah 2;05
  2. don't untie the ribbon . MOT · eng_USA_Brown/sarah013.cha, line 894 · Sarah 2;05
  3. I said don't untie the ribbon . MOT · eng_USA_Brown/sarah013.cha, line 900 · Sarah 2;05
  4. leave the ribbon alone . MOT · eng_USA_Brown/sarah013.cha, line 902 · Sarah 2;05
  1. eng_USA_Brown/sarah013.cha, line 803 · Sarah, 2;5.15
    CHIsee do(ll)y .
    CHIxxx ri(bbo)n xxx neck .
    MOT*MOT: she has ribbon (a)round her neck # yeah .
    CHIxxx .
    MOTshe won't choke .
  2. eng_USA_Brown/sarah013.cha, line 894 · Sarah, 2;5.15
    CHIxxx baby .
    CHIxxx baby .
    MOT*MOT: don't untie the ribbon .
    MOTdon't +...
    MOThey +...
  3. eng_USA_Brown/sarah013.cha, line 900 · Sarah, 2;5.15
    MOTdon't +...
    MOThey +...
    MOT*MOT: I said don't untie the ribbon .
    MOTleave the ribbon alone .
    CHIxxx .
  4. eng_USA_Brown/sarah013.cha, line 902 · Sarah, 2;5.15
    MOThey +...
    MOTI said don't untie the ribbon .
    MOT*MOT: leave the ribbon alone .
    CHIxxx .
    MOTwhat ?

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_Brown4.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah013.chaSarah 2;5.15963444.15

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. ribbon4 · 100.0%